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Metro location, popular data role and broad skill requirements increase applicant competition.
Core data engineering and cloud skills are readily transferable across industries with low domain lock-in.
Multiple explicit years requirements and mandatory cloud, pipeline, warehouse, and tooling skills make shortlisting stringent.
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Lead design reviews and develop robust, testable code for large-scale data processing systems.
Triage system-wide issues, resolve critical technical debt, and build transparent systems with monitoring and alerting.
Collaborate with product stakeholders and developers within Agile framework to deliver pragmatic data engineering solutions.
8-10 years professional experience designing/building/maintaining highly available data and analytics platforms.
5+ years data engineering experience with large-scale data processing systems.
3+ years experience with cloud platforms (OCI, AWS, or similar), data pipelines (batch and/or real-time), data warehouses (ADW, Redshift, or similar), Airflow or similar orchestration tools, SQL and Python scripting.
Must be located in Bengaluru with hybrid work mode requiring 3 days in office (Kadubeesanahalli, Embassy Tech Village).
Experienced in building and maintaining mission-critical, 24x7 data engineering systems with automated CI/CD deployment.
Able to independently contribute to architecture discussions and mentor junior developers.
Strong communicator comfortable working with cross-functional teams including product, BI developers, and business analysts.