Job Title -  Senior Consultant – Data EngineerCareer Level - D3Job RoleAdvanced Level Data Engineer. Working under guidance of more Data Engineering Lead, the role will be involved in analysing requirements, implementing or testing components, as well as supporting IT applications enhancements, release and maintenance, leading the data engineering team which may require a close collaboration with third party suppliers.The role will specialise in a particular area of Data Engineering typically around one or more Commercial Software as a Service systems.Leverage technology to impact patients and ultimately save livesDo you have expertise in, and passion for, information technology? Would you like to apply your expertise to impact the IT strategy in a company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!ABOUT ASTRAZENECAAstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work.ABOUT OUR IT TEAMIt’s a dynamic and results-oriented environment to work in – but that’s why we like it. There are countless opportunities to learn and grow, whether that’s exploring new technologies in hackathons, or redefining the roles and work of colleagues, forever. Shape your own path, with support all the way. Diverse minds that work cross- functionally and broadly together.ABOUT THE ROLEWe are recruiting a Senior Data Engineer to join our Data, Analytics & AI group. As part of our transformational journey on Data & AI in Operations, we are taking the steps to advance our Operation Data Hub (ODH) to Data Mesh architecture. ODH exists to give all Operations units access to critical data and analytic tools at pace, accelerating their work on life saving medicines. The vision of ODH is also accelerating Operation’s data strategy of making our data Findable, Accessible, Interoperable and Re-useable (FAIR). This is being achieved through the creation of a distributed data architecture, management of our data and data products will sit at the heart of this.As a Senior Data Engineer, you will be part of a engineering team accountable for harvesting, storing, quality checking, transforming, and visualising Operations data, build out reusable data products, which users from Operations units can self-service for analytics and AI/ML workflows. You will also be providing ongoing Business-as-Usual support to ensure these data products evolving overtime to meet Operations business objectives.It is our goal to create scalable solutions to support the development of valuable data products and address broad range of data use cases from Operations, including batch analytics based on data warehousing, data mart and Big Data stack, and emerging use cases on real-time analytics based on streaming.Our technology is focused around the AWS stack, existing technical components include AWS, SAP HANA, SAP MDG, SAS DQ, Qlik Replicate, Qlik Sense, Power BI. Moving forward, we aim to consolidate our technology estate and roll out modern data engineering stack, such as: Snowflake, DBT, AWS Kinesis, AWS MWAA.The core of our development and support team are based in Chennai. You will also work closely with the Enterprise Data & AI teams to demonstrate central Enterprise Data Platforms for Data Cataloguing, Master Data Management and Reference Data Management.You will need a collaborative delivery approach to be successful. We prefer to use Agile but choose the appropriate approach for the project. So, experience of a variety of delivery management methodologies would come in useful.You will need to have8+ years overall IT industry experience.<ul><li>Experience designing, implementing data products supporting bespoke analytics and AI applications </li><li>Design, develop, and deploy production-grade scalable data products using container technologies like Docker and Kubernetes with a focus on data testing and validation </li><li>Solid experience using data and compute related services in AWS such as AWS S3, EC2, ECS, ECR, MWAA and EMR.</li><li>Experience of data analysis – profiling, investigating, interpreting, and documenting data structures.</li><li>Experience with & knowledge in a broad base of data tools, ETL frameworks, monitoring and data technologies, for example our stack includes: SAP HANA, SAP MDG, PowerBI, Qlik Sense, Qlik Replicate, Collibra, Snowflake, DBT. SnapLogic.</li><li>Experience of visualisation technologies (we are focused on Power BI and Qlik Sense),</li><li>Experience with code repositories such as GitHub.</li><li>Production experience delivering CI/CD pipelines (Jenkins, ArgoCD, GitHub Actions). </li><li>Knowledge of data architectures, design including data modelling</li><li>Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues. </li><li>Advanced SQL skills and Experience in performance tuning SQL.</li><li>Excellent verbal and written skills for effective communication with a variety of personas including, engineers, testers, architects, product managers, scientists, etc. </li><li>Experience working in an Agile team.</li><li>Experience in leading the technical team.</li><li>Experience leveraging DevOps to enable automation strategies.</li><li>Experience with data orchestration & scheduling tools such as Airflow.</li><li>Knowledge about data cataloguing, master data and reference data management.</li></ul>WHY JOIN US?We’re a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions.We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters.SO, WHAT’S NEXT? Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.WHERE CAN I FIND OUT MORE? Our Social Media, Follow AstraZeneca on LinkedIn <a href="https://www.linkedin.com/company/1603/" target="_blank">https://www.linkedin.com/company/1603/</a>We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.<h2></h2>Date Posted17-Apr-2024Closing Date16-May-2024AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Job Title: Senior Data Engineer (Biopharmaceutical Development)Introduction to role: Are you ready to explore and innovate in a dynamic environment? As a Senior Data Engineer specializing in knowledge graph development, your role will be pivotal in the design, creation, and maintenance of our organization's knowledge graph infrastructure. Your expertise will be instrumental in advancing knowledge management and discovery, with a primary focus on ensuring it is Findable, Accessible, Interoperable, and Reusable (FAIR) for scientists across the company. Our work revolves around collaboration with scientists and engineers from diverse fields within biopharmaceutical development to effectively analyze data, extracting valuable information, knowledge, and insights. Our collective mission is to optimize and revolutionize the R&D workflows, expediting the design and delivery of innovative medicines to patients.Accountabilities: In this role, you will develop knowledge graph solutions to architect, analyze, and continuously evolve BPD knowledge-based systems. You will integrate data from diverse sources (structured and unstructured) into the knowledge graphs, maintaining data quality and consistency. You will also develop and maintain schemas, controlled vocabularies, and ontologies for knowledge graphs, ensuring they accurately represent complex concepts and relationships. Additionally, you will continuously monitor and optimize knowledge graphs for performance and scalability. You will develop graph query services and machine learning applications to extract insights from knowledge graphs for users, including data scientists and lab scientists. Lastly, you will collaborate with cross-functional teams and partners to understand business requirements, identify knowledge gaps, and define data-driven strategies to streamline R&D processes.Essential Skills/Experience: • M.Sc. in a relevant field (such as mathematics, computer science, engineering) with 4+ years of industry experience. • Proven experience in data engineering, preferably in the biopharmaceutical or healthcare domain. • Experience in knowledge graph development, ontology design, and graph database technologies. • Strong programming skills (Python, Java, SQL) • Excellent communication skills and the ability to collaborate effectively with diverse teams.Desirable Skills/Experience: • PhD degree in a relevant field (such as mathematics, computer science, engineering) with 2+ years of industry experience. • Experience with graph database systems (Neo4j, RDF, Amazon Neptune, Virtuoso) and related query languages (Cypher, SPARQL). • Prior experience with Natural Language Processing, Large Language models and generative AI. • Experience with cloud computing platforms such as AWS and Azure. • Experience with data transformation, ETL processes and data quality management.When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.Why AstraZeneca? Join the team unlocking the power of what science can do. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. Here we have the potential to grow our pipeline and positively impact the lives of billions of patients around the world. We are committed to making a difference. We have built our business around our passion for science. Now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs.Ready to make a difference? Apply now and join us in our mission to revolutionize biopharmaceutical development!Date Posted11-Apr-2024Closing Date20-May-2024Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law.

Job Title - Analyst - Data EngineerCareer Level - C3<h2></h2><h2>About Astrazeneca</h2>AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work.<h2>Who we are: </h2>The Global Business Service (GBS) team sits within Finance at AstraZeneca and is a dynamic and results-oriented environment and provides a range of enterprise-wide services. We dare to change the way we work by freeing up the business to push the boundaries of science to deliver life-changing medicines. We aim to do this by freeing up time, freeing up money, protecting AZ’s value and providing new capabilities.<h2>What we do: </h2>A trusted partner to the business, we’re on a mission to make AstraZeneca more agile, efficient and effective. Through our hybrid model of in-house delivery centers and service towers across the globe, we’re reimagining how we work. Here we drive new ways of working and operating models, process simplification and innovative solutions, whilst ensuring that automation and data is at the heart of everything.<h2>How we do it:</h2>Be part of a team building a community. We interact with diverse cultures and perspectives and are united by our sense of belonging. This is the place to learn and grow together.<h2>Why we love it:</h2><ul><li>As a growing multi-national company, there’s so much potential to develop. Embrace opportunities at a global business that’s facing new and varied challenges. This is the place to build an exemplary, international CV.</li><li>A fun place to be, we’re creating community hubs that build partnerships, not just working relationships.</li><li>We’re on an exciting journey to take our team to the next stage. This is the place to leave a legacy behind.</li><li>We are a diverse, inclusive and innovative group who identify, build and deliver excellent shared services (which everyone can leverage) to enable AstraZeneca to grow and change at speed. We are passionate about simple process – making it easier to get vital repeatable services done – for our patients, for our customers, for our teams.</li><li>We focus on providing exceptional value that contributes to our company’s success and future by freeing up the business (our customers) to push the boundaries of science to deliver life-changing medicines for patients. With the accomplishments, commitment and passion that you bring, I’m excited about what we will achieve together towards realizing AstraZeneca’s bold ambition.</li></ul><h2>About the role</h2>Data Engineer in Data Science and Advanced Analytics is an incredible opportunity within the Commercial Strategic Data Management team to support the transformation of data science and advanced analytics for Rare Disease Unit by crafting, developing, and fielding data science solutions that drive impact for patients. The primary focus will be to leverage tools & technology best practices to improve delivery performance & data engineering capabilities in the D&A space to create a seamless platform for the DS team and to drive business growth. This role will work closely with the Data Science and Advanced Analytics team, US Commercial leadership, Sales Field Team, and Field Operations. This role will help further build the data science capability supporting the Commercial needs.        Work with the Commercial Cross-functional team to identify opportunities for leveraging internal and external data to drive business solutions.•           Responsibility includes woking closely with business and advanced data science teams for various cross-functional projects and drive delivery of complex data science solutions that drive value to Commercial Organization•           Manage the platform and processes for complex projects using wide breadth of data engineering techniques in advanced analaytics•           Proven working experience as a data engineer/business data engineer•           Interpret data, process data, analyze results and provide ongoing reports•           Develop and implement databases, data collection systems, data analytics and other strategies that optimize data efficiency and quality•           Acquire data from primary or secondary data sources and maintain databases/data systems•           Identify, analyse, and interpret trends or patterns in complex data sets•           Work with management to prioritize business and information needs•           Strong knowledge in Snowkflake and in databases (SQL, Amazon Redshift, S3, Oracle etc.) and experience with data integration tools (ETL) (Talend, Informatica, SSIS, etc.)•           Experience in building data pipelines using ETL tools•           Strong  Analitycal Skills  with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy•           Adept at queries, scripts, stored procedures, report writing and presenting findings•           Locate and define new process improvement opportunities•           Manage and provide support to data solutions in BAU scenarios.•           Experience in data analysis techniques such as investigating, interpreting, and documenting data structures.You will need to have<ul><li>BS/MS in a quantitative field (Computer Science, Data Science, Engineering, Information Systems, Economic) with strong knowledge of statistical analysis and modeling</li><li>5+ years of work experience with DB skills like SQL, SnowFlake, Amazon Redshift, MongoDB, Apache Spark, Apache Airflow, AWS cloud and Amazon S3 experience, Oracle, Teradata</li><li>Good experience in Apache Spark or Talend Administration Center or AWS Lambda, MongoDB, Informatica, SQL Server Integration Services, etc.</li><li>Good knowledge in Data Integration/ETL concepts and programming skills: Python</li><li>Good experience in consulting, healthcare, or biopharmaceuticals</li><li>Good written and verbal skills, and willing to work in a cross-cultural environment</li><li>An analytical mind and inclination for problem-solving and proficiency in data manipulation, cleansing, and interpretation</li><li>Working in a support and maintenance project along with ticket handling and change management experience</li><li>Strong communication skills and ability to communicate complex methods and results to diverse audiences.</li><li>Hands-on Experience working with EHR, administrative claims, and laboratory data (e.g., Prognos, IQVIA, Komodo, Symphony claims data)</li><li>To build an efficient Data Management (Extract, consolidate and store large datasets with improved data quality and consistency)</li><li>With streamlined data transformation: Convert raw data into usable formats at scale, automate tasks, and apply business rules.</li><li>Setting up Workflow Orchestration (Schedule and manage data pipelines for smooth flow and automation)</li><li>Candidate must have technical experience in database structures, query languages, structured programming languages, and the ability to query large datasets using ANSI SQL/HIVE SQL and working with relational databases</li><li>Importance of Scalability and Performance (in handling large data volumes with optimized processing capabilities)</li><li>Seamless Data Integration: Connect and integrate data from diverse sources easily.</li><li>Focus more into Data Governance and Security (by ensuring compliance and protect sensitive data)</li><li>Building collaborative Workflows that enables team collaboration and maintain organized workflows with seamless data flow</li></ul>We would prefer for you to have:<ul><li>Knowledge of distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS and use data and these technologies along with statistical tools like Python/R, etc</li><li>Experience with Git</li><li>Experience working with Hypertext Transfer Protocol (HTTP) requests and responses and API REST services.</li><li>Familiarity with data visualization tools like Tableau, Qlik Sesne, Power BI, Excel charts/reports</li><li>Prior experience with Data Tokenization</li></ul><div></div>Working knowledge of the Salesforce/Veeva CRM, Data governance, and Data mining algorithmsWHY JOIN US?We’re a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions.We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters.SO, WHAT’S NEXT? Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.WHERE CAN I FIND OUT MORE? Our Social Media, Follow AstraZeneca on LinkedIn <a href="https://www.linkedin.com/company/1603/" target="_blank">https://www.linkedin.com/company/1603/</a>We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.Date Posted04-Apr-2024Closing Date30-May-2024AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

<h2>Career Category</h2>Information Systems<h2></h2><h2>Job Description</h2>HOW MIGHT YOU DEFY IMAGINATION?You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role.Data EngineerLiveWhat you will doLet’s do this. Let’s change the world. In this vital role you will join our team to develop a data & analytics capability focused on integrated product surveillance. As part of this role you will be designing and developing robust data models, data pipelines and data products as part of a product team of data scientists, business analysts, and software engineers. The team will rely on your expertise in automating the transformation and manipulation of data to generate insights on product complaints & adverse events for Amgen.Responsibilities:With general direction, apply specialized knowledge and understanding of principles, concepts and standards to moderately complex assignments as follows:<ul><li>Be a key team member assisting in design and development of data pipelines.</li><li>Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipeline to meet fast paced business needs.</li><li>Serve as system admin to manage AWS and Databricks platform.</li><li>Adhere to best practices for coding, testing and designing reusable code/component.</li><li>Able to explore new tools and technologies that will help to improve ETL platform performance.</li><li>Participate in sprint planning meetings and provide estimations on technical implementation; collaborate and communicate effectively with the product teams.</li></ul>WinWhat we expect of youWe are all different, yet we all use our unique contributions to serve patients. The professional we seek is a person with these qualifications.Basic Qualifications:Master’s degreeORBachelor’s degree and 2 years of relevant experienceORAssociate’s degree and 6 years of relevant experienceORHigh school diploma / GED and 8 years of relevant experienceMinimum Qualifications:<ul><li>Minimum 4 years of experience with design and development of data pipelines.</li><li>Experience with software development (Java, Python preferred), end-to-end system design.</li><li>Experience with data modeling for both OLAP and OLTP databases, hands-on experience with SQL, preferred Oracle, PostgreSQL, and Hive SQL.</li><li>Experience with ETL tool, for example Databricks.</li></ul>Preferred Qualifications:<ul><li>Ability to learn quickly, be organized and detail oriented.</li><li>Hands-on development experience with Databricks.</li><li>Experience with software DevOps CI/CD tools, such Git, Jenkins.</li><li>Experience on AWS, familiar with EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway.</li><li>Experience with Apache Airflow and Apache Spark.</li><li>Experience working in a team of data scientist, business experts and software engineers to deliver insights and solutions.</li><li>Experience working in biopharma/life sciences industry.</li></ul>ThriveWhat you can expect of usAs we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.This role is paid hourly. The expected annualized salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including, but not limited to, relevant skills, experience, and qualifications.In addition to the annualized hourly salary, Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:<ul><li>Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.</li><li>A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan.</li><li>Stock-based long-term incentives.</li><li>Award-winning time-off plans and bi-annual company-wide shutdowns.</li><li>Flexible work models, including remote work arrangements, where possible.</li></ul>Apply nowfor a career that defies imaginationObjects in your future are closer than they appear. Join us.careers.amgen.comAmgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation..Salary Range97,300.00 USD - 128,094.00 USD

Job Title - Analyst - Data Engineer Career Level - C3<h2></h2><h2>About Astrazeneca</h2>AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work.<h2>Who we are: </h2>The Global Business Service (GBS) team sits within Finance at AstraZeneca and is a dynamic and results-oriented environment and provides a range of enterprise-wide services. We dare to change the way we work by freeing up the business to push the boundaries of science to deliver life-changing medicines. We aim to do this by freeing up time, freeing up money, protecting AZ’s value and providing new capabilities.<h2>What we do: </h2>A trusted partner to the business, we’re on a mission to make AstraZeneca more agile, efficient and effective. Through our hybrid model of in-house delivery centers and service towers across the globe, we’re reimagining how we work. Here we drive new ways of working and operating models, process simplification and innovative solutions, whilst ensuring that automation and data is at the heart of everything.<h2>How we do it:</h2>Be part of a team building a community. We interact with diverse cultures and perspectives and are united by our sense of belonging. This is the place to learn and grow together.<h2>Why we love it:</h2><ul><li>As a growing multi-national company, there’s so much potential to develop. Embrace opportunities at a global business that’s facing new and varied challenges. This is the place to build an exemplary, international CV.</li><li>A fun place to be, we’re creating community hubs that build partnerships, not just working relationships.</li><li>We’re on an exciting journey to take our team to the next stage. This is the place to leave a legacy behind.</li><li>We are a diverse, inclusive and innovative group who identify, build and deliver excellent shared services (which everyone can leverage) to enable AstraZeneca to grow and change at speed. We are passionate about simple process – making it easier to get vital repeatable services done – for our patients, for our customers, for our teams.</li><li>We focus on providing exceptional value that contributes to our company’s success and future by freeing up the business (our customers) to push the boundaries of science to deliver life-changing medicines for patients. With the accomplishments, commitment and passion that you bring, I’m excited about what we will achieve together towards realizing AstraZeneca’s bold ambition.</li></ul><h2>About the role</h2>Data Engineer in Data Science and Advanced Analytics is an incredible opportunity within the Commercial Strategic Data Management team to support the transformation of data science and advanced analytics for Rare Disease Unit by crafting, developing, and fielding data science solutions that drive impact for patients. The primary focus will be to leverage tools & technology best practices to improve delivery performance & data engineering capabilities in the D&A space to create a seamless platform for the DS team and to drive business growth. This role will work closely with the Data Science and Advanced Analytics team, US Commercial leadership, Sales Field Team, and Field Operations. This role will help further build the data science capability supporting the Commercial needs.You will be responsible for:•           Work with the Commercial Cross-functional team to identify opportunities for leveraging internal and external data to drive business solutions.•           Responsibility includes woking closely with business and advanced data science teams for various cross-functional projects and drive delivery of complex data science solutions that drive value to Commercial Organization•           Manage the platform and processes for complex projects using wide breadth of data engineering techniques in advanced analaytics•           Proven working experience as a data engineer/business data engineer•           Interpret data, process data, analyze results and provide ongoing reports•           Develop and implement databases, data collection systems, data analytics and other strategies that optimize data efficiency and quality•           Acquire data from primary or secondary data sources and maintain databases/data systems•           Identify, analyse, and interpret trends or patterns in complex data sets•           Work with management to prioritize business and information needs•           Strong knowledge in Snowkflake and in databases (SQL, Amazon Redshift, S3, Oracle etc.) and experience with data integration tools (ETL) (Talend, Informatica, SSIS, etc.)•           Experience in building data pipelines using ETL tools•           Strong  Analitycal Skills  with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy•           Adept at queries, scripts, stored procedures, report writing and presenting findings•           Locate and define new process improvement opportunities•           Manage and provide support to data solutions in BAU scenarios.•           Experience in data analysis techniques such as investigating, interpreting, and documenting data structures.You will need to have:<ul><li>BS/MS in a quantitative field (Computer Science, Data Science, Engineering, Information Systems, Economic) with strong knowledge of statistical analysis and modeling</li><li>5+ years of work experience with DB skills like SQL, SnowFlake, Amazon Redshift, MongoDB, Apache Spark, Apache Airflow, AWS cloud and Amazon S3 experience, Oracle, Teradata.</li><li>Good experience in Apache Spark or Talend Administration Center or AWS Lambda, MongoDB, Informatica, SQL Server Integration Services, etc.</li><li>Good knowledge in Data Integration/ETL concepts and programming skills: Python</li><li>Good experience in consulting, healthcare, or biopharmaceuticals</li><li>Good written and verbal skills, and willing to work in a cross-cultural environment</li><li>An analytical mind and inclination for problem-solving and proficiency in data manipulation, cleansing, and interpretation</li><li>Working in a support and maintenance project along with ticket handling and change management experience</li><li>Strong communication skills and ability to communicate complex methods and results to diverse audiences.</li><li>Hands-on Experience working with EHR, administrative claims, and laboratory data (e.g., Prognos, IQVIA, Komodo, Symphony claims data)</li><li>To build an efficient Data Management (Extract, consolidate and store large datasets with improved data quality and consistency)</li><li>With streamlined data transformation: Convert raw data into usable formats at scale, automate tasks, and apply business rules.</li><li>Setting up Workflow Orchestration (Schedule and manage data pipelines for smooth flow and automation)</li><li>Candidate must have technical experience in database structures, query languages, structured programming languages, and the ability to query large datasets using ANSI SQL/HIVE SQL and working with relational databases</li><li>Importance of Scalability and Performance (in handling large data volumes with optimized processing capabilities)</li><li>Seamless Data Integration: Connect and integrate data from diverse sources easily.</li><li>Focus more into Data Governance and Security (by ensuring compliance and protect sensitive data)</li><li>Building collaborative Workflows that enables team collaboration and maintain organized workflows with seamless data flow</li></ul>We would prefer for you to have:<ul><li>Knowledge of distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS and use data and these technologies along with statistical tools like Python/R, etc</li><li>Experience with Git</li><li>Experience working with Hypertext Transfer Protocol (HTTP) requests and responses and API REST services.</li><li>Familiarity with data visualization tools like Tableau, Qlik Sesne, Power BI, Excel charts/reports</li><li>Prior experience with Data Tokenization</li><li>Working knowledge of the Salesforce/Veeva CRM, Data governance, and Data mining algorithms.</li></ul>WHY JOIN US?We’re a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions.We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters.SO, WHAT’S NEXT? Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can.WHERE CAN I FIND OUT MORE? Our Social Media, Follow AstraZeneca on LinkedIn <a href="https://www.linkedin.com/company/1603/" target="_blank">https://www.linkedin.com/company/1603/</a>We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.Date Posted27-Mar-2024Closing Date01-Apr-2024AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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