ABOUT TREDENCETredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on Onprem/GCP/Azure cloud in a very cost effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data.JOB DESCRIPTION:We are looking for an analytical, big picture thinker who is driven to enhance and further the mission of Tredence by delivering technology to internal business and functional stakeholders. You will serve as a leader to drive the IT strategy to create value across the organization. This Cloud Architect will be empowered to lead the organization to focus on implementing both top-level, strategic, innovative solutions, as well as the day-to-day tactics that drive efficiency, effectiveness and value across the entire organization.You will play a critical role in creating and analysing deliverables to provide critical content to enable fact-based decision making, facilitation and achievement of successful collaboration with the business stakeholders. You will analyse, design, and develop best practices business changes through technology solutions.THE IDEAL CANDIDATE WILLEngage with stakeholders to gather requirements to deliver data solutions.Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations.Responsible for creating Technical Architectures for migration from OnPrem to CloudManaging and mentoring a Team in end to end implementation of project.Capability to work in a rapidly changing business environment and to enable simplified user access to massive data by building scalable data solutionsELIGIBILITY CRITERIAGraduate degree in Computer Science, Information Systems or equivalent quantitative field and 4-6 years of experience in a similar big data experience role.Experience working with and extracting value from large, disconnected and/or unstructured datasetsDemonstrated ability to build processes that support data transformation, data structures, metadata, dependency and workload managementStrong interpersonal skills and ability to project manage and work with cross-functional teamsAdvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Ability to experiment and adopt any new technologies in big data ecosystemExperience with the one or more tools and technologies: Hadoop, Hive, Spark, Pig, Scoop, Kafka, Presto, Impala, Drill, Druid, Relational SQL and NoSQL databasesData pipeline/workflow management tools such as Azkaban and AirflowAble to play around with configuration properties for performance tuningAt least one Cloud Service Provider among GCP/Azure.Stream-processing systems such as Storm and Spark-StreamingObject-oriented/object function scripting languages such as Python, Scala, Java, C++, etc.Hands-on of one or more scripting language is a plusABOUT YOU:You are self-motivated, collaborative, eager to learn, and hands onYou love trying out new apps, and find yourself coming up with ideas to improve themYou stay ahead with all the latest trends and technologiesYou are particular about following industry best practices and have high standards regarding qualityWHY JOIN TREDENCE?There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. We offer a 401k match; full medical, dental and vision benefits, a fun team atmosphere and a work life balance. Our people are our greatest asset and we value every one of them. Come see why we're so successful in one of the most competitive and fastest growing industries in the world.#J-18808-Ljbffrby Jobble

About Tredence:Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. The largest companies across industries are engaging with Tredence and deploying its prediction and optimization solutions at scale empowering end users to improve decision making. Headquartered in the San Francisco Bay Area, the company serves clients in the US, Canada, Europe, and SE Asia. Learn more at www.tredence.com.Job Role:Lead / Manager (9-12+ Yrs) Data Scientist - Ankeny, IA - OnsiteTHE IDEAL CANDIDATE WILL:JOB DESCRIPTION: Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution. Work with teams of smart collaborators. Be responsible for their appraisals and career development. Participate and lead executive presentations with client leadership stakeholders. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.Roles & Responsibilities: Solve some of the most impactful business problems for our clients. Lead multiple teams across clients ensuring quality and timely outcomes on all projects. Lead and manage the onsite-offshore relation, at the same time adding value to the client. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment. Present results, insights, and recommendations to senior management with an emphasis on the business impact. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization. Lead or contribute to org level initiatives to build the Tredence of tomorrow.ELIGIBILITY CRITERIA:10+ years of experience (Manager) in data science, building hands-on ML models.We need candidates with Retail exp + customer analytics [campaign management/MMM/AB testing/CLTV...] + Statistics background who has worked on statistical tests such as Anova, T-test, chi-square etcHands-on experience with NLP , SQL, R, Python, Spark, and building machine learning models.Proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment. a. Derive metrics for model performance monitoring and conduct continuous model performance monitoring (after deployment).Proven industry experience of designing, leading, and managing large-scale data science projects and collaborating with data engineers and Product Managers. a. Work with data engineers to test and validate training and production data pipelines, among other tasks.Strong understanding of the fundamental concepts of popular statistical and ML models.Experience in managing multiple priorities and leading a team.Strong communication skills with excellent ability to synthesize complex information.Ability to solve complex business problem through a blend of logical and creative thinking.A learning and growth mindset.Experience with BI tools such as Power BI, Tableau is preferred but not required.Experience with cloud platforms such as Azure, AWS is preferred but not required.Why join Tredence?There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. We offer a 401k match; full medical, dental and vision benefits, a fun team atmosphere and a work life balance. Our people are our greatest asset and we value every one of them. Come see why were so successful in one of the most competitive and fastest growing industries in the world.#J-18808-Ljbffrby Jobble

About Tredence­:Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. The largest companies across industries are engaging with Tredence and deploying its prediction and optimization solutions at scale –empowering end users to improve decision making. Headquartered in the San Francisco Bay Area, the company serves clients in the US, Canada, Europe, and SE Asia. Learn more at www.tredence.com Required Skills/Qualifications:<ul><li>6-12 years of relevant experience</li><li>Bachelor's and/or master’s degree in computer science or equivalent experience.</li><li>Strong communication, analytical and problem-solving skills with a high attention to detail.</li></ul> Desired Experience:<ul><li>At least two years of experience building and leading highly complex, technical engineering teams.</li><li>Strong hands-on experience in Databricks</li><li>Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. The data pipelines must be created, maintained, and optimized as workloads move from development to production for specific use cases.</li><li>Experience managing distributed teams preferred.</li><li>Comfortable working with ambiguity and multiple stakeholders.</li><li>Comfortable working cross functionality with product management and directly with customers; ability to deeply understand product and customer personas.</li><li>Expertise on Azure Cloud platform</li><li>Good SQL knowledge</li><li>Knowledge on orchestrating workloads on cloud</li><li>Ability to set and lead the technical vision while balancing business drivers</li><li>Strong experience with PySpark, Python programming</li><li>Proficiency with APIs, containerization and orchestration is a plus</li><li>Experience handling large and complex sets of data from various sources and databases</li><li>Solid grasp of database engineering and design principles</li><li>Familiarity with CI/CD methods desired</li><li>Good to have Teradata Experience (not Mandatory)</li></ul> Responsibilities:<ul><li>Manage end to end delivery by Investigating problem areas, working cross-functionally with product manager & other stakeholders</li><li>Follow the Agile development methodology; think strategically and execute methodically</li><li>Develop and manage capacity and growth projection forecasts of the environment within budgets</li><li>Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements</li><li>Drive optimization, testing and tooling to improve quality of solutions</li><li>Manage teams that build and operate high volume distributed systems in a SaaS environment</li><li>Great at devising efficient processes that increase velocity and quality</li><li>Train counterparts in the data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.</li><li>Promote the available data and analytics capabilities and expertise to business unit leaders and educate them in leveraging these capabilities in achieving their business goals.</li><li>Accountable for operational effectiveness in performance, uptime, release management of the enterprise data platform</li></ul> About you:· You are self-motivated, collaborative, eager to learn, and hands on· You love trying out new apps, and find yourself coming up with ideas to improve them· You stay ahead with all the latest trends and technologies· You are particular about following industry best practices and have high standards regarding quality Why join Tredence?There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. We offer a 401k match; full medical, dental and vision benefits, a fun team atmosphere and a work life balance. Our people are our greatest asset and we value every one of them. Come see why we’re so successful in one of the most competitive and fastest growing industries in the world

About Tredence:Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. The largest companies across industries are engaging with Tredence and deploying its prediction and optimization solutions at scale empowering end users to improve decision making. Headquartered in the San Francisco Bay Area, the company serves clients in the US, Canada, Europe, and SE Asia. Learn more at www.tredence.comRequired Skills/Qualifications:<ul><li>6-12 years of relevant experience</li><li>Bachelor's and/or masters degree in computer science or equivalent experience.</li><li>Strong communication, analytical and problem-solving skills with a high attention to detail.</li></ul>Desired Experience:<ul><li>At least two years of experience building and leading highly complex, technical engineering teams.</li><li>Strong hands-on experience in Databricks</li><li>Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. The data pipelines must be created, maintained, and optimized as workloads move from development to production for specific use cases.</li><li>Experience managing distributed teams preferred.</li><li>Comfortable working with ambiguity and multiple stakeholders.</li><li>Comfortable working cross functionality with product management and directly with customers; ability to deeply understand product and customer personas.</li><li>Expertise on Azure Cloud platform</li><li>Good SQL knowledge</li><li>Knowledge on orchestrating workloads on cloud</li><li>Ability to set and lead the technical vision while balancing business drivers</li><li>Strong experience with PySpark, Python programming</li><li>Proficiency with APIs, containerization and orchestration is a plus</li><li>Experience handling large and complex sets of data from various sources and databases</li><li>Solid grasp of database engineering and design principles</li><li>Familiarity with CI/CD methods desired</li><li>Good to have Teradata Experience (not Mandatory)</li></ul>Responsibilities:<ul><li>Manage end to end delivery by Investigating problem areas, working cross-functionally with product manager & other stakeholders</li><li>Follow the Agile development methodology; think strategically and execute methodically</li><li>Develop and manage capacity and growth projection forecasts of the environment within budgets</li><li>Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements</li><li>Drive optimization, testing and tooling to improve quality of solutions</li><li>Manage teams that build and operate high volume distributed systems in a SaaS environment</li><li>Great at devising efficient processes that increase velocity and quality</li><li>Train counterparts in the data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.</li><li>Promote the available data and analytics capabilities and expertise to business unit leaders and educate them in leveraging these capabilities in achieving their business goals.</li><li>Accountable for operational effectiveness in performance, uptime, release management of the enterprise data platform</li></ul>About you:You are self-motivated, collaborative, eager to learn, and hands onYou love trying out new apps, and find yourself coming up with ideas to improve themYou stay ahead with all the latest trends and technologiesYou are particular about following industry best practices and have high standards regarding qualityWhy join Tredence?There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. We offer a 401k match; full medical, dental and vision benefits, a fun team atmosphere and a work life balance. Our people are our greatest asset and we value every one of them. Come see why were so successful in one of the most competitive and fastest growing industries in the worldby Jobble

Candidates from Pune, Bangalore, Chennai, Gurgaon, Kolkata can apply <ul><li>Working experience in Snowflake; use of Snow SQL CLI, Snow Pipe creation of custom functions and Snowflake stored producers, schema modelling, performance tuning etc.</li><li>Expertise in Snowflake data modelling, ELT using Snowflake SQL, Snowflake Task Orchestration implementing complex stored Procedures and standard DWH and ETL concepts</li><li>Extensive experience in DBT CLI, DBT Cloud, GitHub version control and repository knowledge, and DBT scripting to design & develop SQL processes to perform complex ELT processes and data pipeline build.</li><li>Ability to independently envision and develop innovative ETL and reporting solutions and execute them through to completion.</li><li>Triage issues to find gaps in existing pipelines and fix the issues</li><li>Analyze the data quality, align the technical design to data governance, and address all the required non-business but operational requirements during the design and build of data pipelines</li><li>Develop and maintain data pipelines using DBT</li><li>Provide advice, guidance, and best practices around Snowflake</li><li>Provide guidance on moving data across different environments in Snowflake</li><li>Create relevant documentation around database objects</li><li>Troubleshoot production support issues post-deployment and come up with solutions as required</li><li>Good Understanding and knowledge of CI/CD process and GitHub->DBT-> Snowflake integrations.</li><li>Advance SQL knowledge and hands-on experience in complex query writing using Analytical functions, Troubleshooting, problem-solving, and performance tuning of SQL queries accessing data warehouse as well as Strong knowledge of stored procedures.</li><li>Experience in Snowflake advanced concepts such as resource monitors, virtual warehouse sizing, query performance tuning, zero-copy clone, time travel and understanding how to use these features</li><li>Help joiner team members to resolve issues and technical challenges.</li><li>Drive technical discussions with client architect and team members</li><li>Good experience in developing scripts for data auditing and automating various database platform manual activities.</li><li>Understanding of the full software lifecycle and how development teams should work with DevOps to create more software faster.</li><li>Excellent communication, working in Agile Methodology/Scrum</li></ul> Skills and Qualifications:<ul><li>Bachelor's and/or master’s degree in computer science or equivalent experience.</li><li>Must have total 5+ yrs. of IT experience and 3+ years' experience in data Integration, ETL/ETL development, and database design or Datawarehouse design</li><li>Deep understanding of Star and Snowflake dimensional modelling.</li><li>Strong knowledge of Data Management principles</li><li>Working experience in Snowflake; use of Snow SQL CLI, schema modelling, performance tuning etc.</li><li>Develop and maintain data pipelines using DBT</li><li>Experience with writing complex SQL queries, especially dynamic SQL</li><li>Expertise in Snowflake data modelling, ELT using Snowflake SQL, Snowflake Task Orchestration implementing complex stored Procedures and standard DWH and ETL concepts</li><li>Experience with performance tuning and optimization of SQL queries</li><li>Experience of working with Retail Data</li><li>Experience with data security and role-based access controls</li><li>Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects</li><li>Should have experience working in Agile methodology</li><li>Strong verbal and written communication skills.</li><li>Strong analytical and problem-solving skills with high attention to detail</li></ul>

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Data EngineerApril 22, 2024

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Data EngineerApril 19, 2024

Data ScientistApril 19, 2024

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