Data Engineer

Responsibilities include understanding ETL & Data Engineering requirements, architecture design, development of etl mapping and framework using SQL, Informatica, Python, Exasol, BigQuery. This is a technical position providing hands-on delivery role, working with the cross-functional teams, while ensuring excellent cross functional relationship. Job Details: Advanced working SQL knowledge and experience working with relational databases , query authoring (SQL) as well as working familiarity with a variety of databases. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Google ‘big data’ technologies. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Work with stakeholders including the BSA, Report developers, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Additional responsibilities include troubleshooting, maintenance, and optimization or enhancement of existing processes. Partner with engineering leads and architects to define & coordinate technical design. Design and code reviews to ensure standards and quality level for the build Performance tuning of ETL jobs to meet SLA Prepare technical documentations on the deliverables Identify, define and implement best practices for process improvements for SDLC management