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 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>

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 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></ul> Desired Experience/ Skills:<ul><li>8+ years of relevant experience</li><li>At least two years of experience building and leading highly complex, technical engineering teams.</li><li>Strong hands-on experience in Data bricks</li><li>Experience managing distributed teams preferred.</li><li>Strong technical experience in large distributed systems, Data Warehousing, Data Lake at scale Project management skills: financial/budget management, scheduling and resource management experience with medium and large-scale projects</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>Architecture Design Experience for Cloud and Non-cloud platforms</li><li>Expertise on Azure Cloud platform</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></ul> Qualifications:<ul><li>Bachelor's and/or master’s degree</li></ul> About you:<ul><li>You are self-motivated, collaborative, eager to learn, and hands on</li><li>You love trying out new apps, and find yourself coming up with ideas to improve them</li><li>You stay ahead with all the latest trends and technologies</li><li>You are particular about following industry best practices and have high standards regarding quality</li></ul>

Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost-effectively using a global execution model leveraging our clients&#39; existing technology and data assets. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data.Primary Roles and Responsibilities: ● Developing Modern Data Warehouse solutions using Snowflake, Databricks and ADF. ● Ability to provide solutions that are forward-thinking in data engineering and analytics space ● Collaborate with DW/BI leads to understand new ETL pipeline development requirements. ● Triage issues to find gaps in existing pipelines and fix the issues ● Work with business to understand the need in the reporting layer and develop a data model to fulfill reporting needs ● Help joiner team members to resolve issues and technical challenges. ● Drive technical discussions with client architect and team members ● Orchestrate the data pipelines in the scheduler via Airflow Skills. Qualifications: ● Bachelor&#39;s and/or master’s degree in computer science or equivalent experience. ● Must have total 6+ yrs. of IT experience and 3+ years&#39; experience in Data warehouse/ETL projects. ● Expertise in Snowflake security, Snowflake SQL and designing/implementing other Snowflake objects. ● Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, Snowsight and Snowflake connectors. ● Deep understanding of Star and Snowflake dimensional modeling. ● Strong knowledge of Data Management principles ● Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture ● Should have hands-on experience in SQL and Spark (PySpark) ● Experience in building ETL / data warehouse transformation processes ● Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) ● Experience working with structured and unstructured data including imaging & geospatial data. ● Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. ● Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting and Query Optimization. ● Databricks Certified Data Engineer Associate/Professional Certification (Desirable). ● Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects ● Should have experience working in Agile methodology ● Strong verbal and written communication skills. ● Strong analytical and problem-solving skills with a high attention to detail. Mandatory Skills: Snowflake/Azure Data Factory/ PySpark / Databricks We are open for Bangalore, Chennai, Gurgaon, Pune and Kolkata

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