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Virtusa is seeking an experienced data engineer to design, build, and maintain robust ETL pipelines for large-scale data integration and transformation across on-prem and cloud environments. You will translate complex business requirements into scalable data solutions and ensure reliability.
The role emphasizes Oracle and Snowflake, Python-based data processing, advanced SQL, and DBT, with collaboration across data architects, business analysts, and cross-functional teams to ensure data quality,
P1C3STSDesign, develop, and maintain robust ETL pipelines for large-scale data integration and transformation.
Develop and Optimize solutions leveraging Oracle and Snowflake
Write, maintain, optimize SQL Queries , Python based data processing solutions
Collaborate with data architects, business analysts, and cross-functional teams to translate business requirements into technical solutions.
Ensure data accuracy, consistency , integrity, and timeliness across data workflows and platforms
Ensure data quality, validation, and integrity through automated testing and monitoring frameworks.
10 + years of relevant experience in data engineering , ETL Development, data integration , or database development
Strong Hands - on experience with Oracle , Snowflake , DBT
Strong Python programming skills with the ability to develop scalable and maintenable solutions
Advance SQL Skills , including query development , performance tuning, and optimization
Strong understanding of ETL principles, data integration patterns, and relational databases concepts
Strong AI skills prefered