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Popular mid-level data role, metro location, 4–6 years and broad skill requirements increase applicant competition.
Core data engineering skills (ETL, SQL, BI) are broadly transferable across industries.
Explicit 4–6 years requirement plus mandatory ETL, SQL and governance skills enforce strict shortlisting.
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Develop and maintain scalable ETL pipelines to integrate and process new data into the data lake.
Monitor and audit data infrastructure pipelines to ensure high data quality and data integrity.
Develop dashboards and automation tools to improve process efficiency.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
4 to 6 years of relevant work experience in data engineering.
Proficiency in SQL and experience with ETL development, data governance, metadata management, and BI dashboards (Tableau, Quicksight, PowerBI, etc.).
Work hours: 1 PM to 10 PM IST; relocation assistance available.
Experienced in managing large-scale data pipelines with strong focus on data integrity and governance.
Skilled in creating operational dashboards and automation to enhance data workflow efficiency.
Familiar with AWS stack (Athena, Quicksight, S3) and Alteryx as preferred technologies.