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Popular mid-level data role, Bangalore metro location, and broad tooling requirements increase applicant competition.
Specialized data engineering skills are required but remain transferable across industries using similar platforms.
Explicit 5–9 years plus specific ETL, cloud, and tooling mandates create strict screening filters.
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Architect and scale modern cloud data platforms, including data lakes and analytics platforms for workplace solutions.
Lead end-to-end cloud data engineering initiatives, including design, deployment, and optimization of ETL/ELT and streaming pipelines with strong SLAs and cost efficiency.
Own data solutions lifecycle and collaborate with cross-functional teams to deliver business-critical financial services data platforms.
5+ years of experience in Data Engineering, Big Data, or Platform Engineering roles.
Proficiency with ETL tools and technologies such as Informatica, SnapLogic, Azure Functions, and Python for pipeline development and deployment.
Strong expertise in advanced SQL development across Oracle, Azure SQL, MySQL, and Snowflake environments.
Location: Bangalore (Hybrid work mode); Employment Type: Full-time; Notice Period: Not explicitly mentioned in the JD.
Experienced in building and optimizing multitenant database and data modeling solutions for enterprise environments.
Skilled in designing data processing and feature generation pipelines with DataOps/CI/CD practices using GitHub workflows.
Capable of ensuring production excellence via incident triaging and root cause analysis, preferably within financial services or benefits administration domains.