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Mid-level generalist data engineer, Bangalore location, known brand, and broad skill requirements increase competition.
Core data engineering skills are highly transferable across industries despite preferred media experience.
Moderate technical filters (SQL, ETL, CDC, data modeling) but no explicit years requirement.
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Design, build, and maintain scalable data systems including ETL/ELT pipelines, databases, and integration frameworks ensuring high data quality and performance.
Develop and optimize complex SQL queries, data architecture, and incremental data processing pipelines for near real-time analytics and reporting.
Manage production data pipelines and platforms supporting enterprise SaaS applications with responsibilities including performance tuning, data governance, and disaster recovery.
Strong experience in SQL and database engineering with ETL/ELT and data pipeline development.
Knowledge of data modeling, data architecture principles, and API/system data integration.
Work Experience Required: Not explicitly mentioned in the JD.
Location Requirement: Bengaluru, India (Manyata N1 Block).
Experienced in designing scalable multi-tenant data structures and implementing CDC frameworks for real-time data synchronization.
Familiarity with cloud data platforms, preferably Azure, and performance tuning of large-scale data systems.
Previous exposure to media domain data workflows such as OTT platforms, ad-tech ecosystems, or campaign performance analytics.