Data Engineer
Job Responsibilities
- Individual contributor to an SDLC life cycle based agile team
- Hands on proficiency and expert-level knowledge in at least one object oriented programming language in C, C++ Or Java
- Deep knowledge in RDBMS concepts and data engineering as a concept and service (data warehousing, data lakes and master data management)
- Expert at analyzing and developing queries in SQL in various dialects (SQL Server, DB2, Oracle)
- Hands on experience in manipulating databases via DML code packages, stored procedures, triggers and materialized views
- Hands on experience in developing reports and dashboards using tools such as Qlik, Tableau or Power BI
- Hands on experience in integrating two systems to process data through various channels (SOAP, Rest, ETL and SSIS)
- Hands on experience with Node Js and JSON
- Familiarity with Airflow and understands how to develop DAGs
- Familiarity with Spark is plus
- Willing to learn new cloud based business apps and tools
- Capable of devising ETL pipelines using Python from scratch
- Ability to independently write efficient and reusable code for ETL pipelines
- Expert in data modeling concepts such as schemas and entity relationships
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