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data engineering lead.

job details

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    job details
    Overview: Are you excited about Big data and Analytics? Would you love the opportunity to design and build data pipeline technologies that will power the next generation advanced analytics capabilities and AI/ML capabilities? Does solving complex problems motivate you? If yes, we are looking for you! We are looking for a Team Lead/Senior Data Engineer to join our Data Pipeline team and help build the technologies used to drive our advanced Analytics capabilities. You will lead a technical team of data engineers responsible for designing and implementing a scalable data lake/ data pipeline solution utilizing various data movement and transformation technologies. You will provide technical leadership, prioritize and manage day to day technical work of a team of data engineers. You will be core part of a broader data, Analytics and ML team with the opportunity to make a significant impact to the broader Data initiative within the company. Summary of Responsibilities:
    • Provide technical leadership to a team of data engineers by managing technical aspects of day to day work (No people management responsibilities)
    • Contribute, as part of a team, in designing, testing, and implementing sophisticated data pipeline technologies to extract and transform data from source systems
    • Perform data-modeling on target systems to store data and support analytic querying
    • Communicate with other development teams to gather and document requirements
    • Work in Agile methodology, help manage work in JIRA and lead/participate in design and review discussions
    • Help create/follow best practices for the software development life-cycle including coding standards, reviews, source management, build and testing
    • Collaborate with other engineers in the team to implement best-practices around large scale data processing
    Position Requirements:
    • 3+ years of experience as a technical manager or as a team lead
    • 5+ years of experience as a Data Engineer or in a similar role working with large data sets and ETL processes
    • 7+ years of industry experience in software development
    • Knowledge and practical use of a wide variety of RDBMS technologies such as MySQL, Postgres, SQL Server or Oracle
    • Strong SQL experience with an emphasis on analytic queries and performance
    • Experience with various “NoSQL” technologies such as MongoDB or ElasticSearchFamiliarity with either native database or external change-data-capture technologies
    • Practical use of various data formats such as CSV, XML, JSON, and Parquet
    • Use of Data flow and transformation tools such as Apache Nifi or Talend
    • Implementation of ETL processes in languages such as Java, Python or NodeJS
    • Use of large shared data stores such as Amazon S3 or Hadoop File System
    • Thorough and practical use of various Data Warehouse data schemas (Snowflake, Star, OLAP cube)
    • Use of cloud-based data warehouse technologies including Snowflake, AWS RedShift.
    • Excellent written and verbal English language communication skills
    Overview: Are you excited about Big data and Analytics? Would you love the opportunity to design and build data pipeline technologies that will power the next generation advanced analytics capabilities and AI/ML capabilities? Does solving complex problems motivate you? If yes, we are looking for you! We are looking for a Team Lead/Senior Data Engineer to join our Data Pipeline team and help build the technologies used to drive our advanced Analytics capabilities. You will lead a technical team of data engineers responsible for designing and implementing a scalable data lake/ data pipeline solution utilizing various data movement and transformation technologies. You will provide technical leadership, prioritize and manage day to day technical work of a team of data engineers. You will be core part of a broader data, Analytics and ML team with the opportunity to make a significant impact to the broader Data initiative within the company. Summary of Responsibilities:
    • Provide technical leadership to a team of data engineers by managing technical aspects of day to day work (No people management responsibilities)
    • Contribute, as part of a team, in designing, testing, and implementing sophisticated data pipeline technologies to extract and transform data from source systems
    • Perform data-modeling on target systems to store data and support analytic querying
    • Communicate with other development teams to gather and document requirements
    • Work in Agile methodology, help manage work in JIRA and lead/participate in design and review discussions
    • Help create/follow best practices for the software development life-cycle including coding standards, reviews, source management, build and testing
    • Collaborate with other engineers in the team to implement best-practices around large scale data processing
    Position Requirements:
    • 3+ years of experience as a technical manager or as a team lead
    • 5+ years of experience as a Data Engineer or in a similar role working with large data sets and ETL processes
    • 7+ years of industry experience in software development
    • Knowledge and practical use of a wide variety of RDBMS technologies such as MySQL, Postgres, SQL Server or Oracle
    • Strong SQL experience with an emphasis on analytic queries and performance
    • Experience with various “NoSQL” technologies such as MongoDB or ElasticSearchFamiliarity with either native database or external change-data-capture technologies
    • Practical use of various data formats such as CSV, XML, JSON, and Parquet
    • Use of Data flow and transformation tools such as Apache Nifi or Talend
    • Implementation of ETL processes in languages such as Java, Python or NodeJS
    • Use of large shared data stores such as Amazon S3 or Hadoop File System
    • Thorough and practical use of various Data Warehouse data schemas (Snowflake, Star, OLAP cube)
    • Use of cloud-based data warehouse technologies including Snowflake, AWS RedShift.
    • Excellent written and verbal English language communication skills