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Data Engineer II

  • Apply proven expertise and build high-performance, scalable data warehouse applications.

  • Intelligently design data models for optimal storage and retrieval

  • Deploy inclusive data quality checks to ensure high quality of data

  • Experience designing and developing data models, integrating data from multiple sources, building ETL/ELT  pipelines, and supporting all aspects of the software development lifecycle (SDLC)

  • Securely source external data from numerous global partners.

  • Optimize existing pipelines and implement new ones, maintenance of all domain-related data pipelines

  • Ownership of the end-to-end data engineering component of the solution

  • Collaboration with the program’s SMEs, data scientists

  • Support on-call shift as needed to support the team. 

  • 5+ years’ experience in data engineering, proven expertise of applying ETL/ELT/DWH/ best practices

  • Proficiency in LAMP and the Big Data stack environments (Hadoop, Hive ,Presto & Spark)

  • Competence with relational databases (Oracle,MySQL, Teradata)

  • experience working with enterprise DE tools, ability to learn in-house DE tools quickly

  • coding and scripting experience with Python, Java, PHP, SQL, CLI


Nice to Have

  • Exposure to Learning Management System (Cornerstone OnDemand LMS, SAP Litmos LMS or  any other LMS)

  • Involved in extracting the data from LMS such as (Cornerstone OnDemand and/or  any other LMS) 

  • Experienced in analyzing the LMS data and etc.


Bachelor's Degree

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