Back
Mid-level data engineer role at a known metro agency with broad requirements increases applicant competition.
Core data engineering skills are broadly transferable across industries despite media domain preference.
No explicit years but many mandatory technical skills and domain requirements create moderately strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain scalable data systems, including data pipelines, databases, and integration frameworks to support analytics, reporting, and enterprise applications.
Implement Change Data Capture (CDC) and incremental processing for near real-time data synchronization and event-driven architectures.
Manage production data platforms including performance tuning, data quality governance, backups, troubleshooting, and support for reporting tools like Tableau and Power BI.
Strong experience in SQL and database engineering including query optimization and performance tuning.
Hands-on expertise in ETL/ELT and scalable data pipeline development with integration from APIs, SaaS platforms, and enterprise systems.
Work Experience Required: Not explicitly mentioned in the JD.
Location Requirement: Bengaluru, India (DGS India - Manyata N1 Block)
Experienced in data architecture and database modeling supporting SaaS and multi-tenant platforms.
Skilled in implementing CDC and real-time or event-driven data architectures for near real-time data solutions.
Familiar with cloud data platforms (Azure preferred) and data governance frameworks relevant to media and ad-tech domains.