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Tier-1 brand, mid-level generalist data role, Bangalore metro, broad skillset increases applicant competition.
Core data engineering skills are transferable, but risk/regulatory controls increase sector specificity moderately.
Explicit 3+ years, mandatory ETL/tools, Python and regulatory controls imply high filter strictness.
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Develop and maintain production-grade ETL/ELT pipelines to onboard and standardize client and vendor data for risk analytics and reporting.
Implement data quality controls, monitoring, alerting, and operational run-books to ensure pipeline reliability and compliance with regulatory requirements.
Collaborate with product managers, engineering leads, and data science teams to support data integration roadmap, including migrations and model-ready data preparation.
3+ years of experience in data integration, data engineering, or analytics engineering with at least 1 year in building and operating production data pipelines.
Hands-on experience with ETL/ELT tools such as Pervasive (Actian DataConnect) or equivalent, and Python development skills.
Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics or related field.
Location: Primary work location Bangalore; availability for night shifts and periodic evening overlap with EMEA/NA stakeholders.
Experienced in financial services risk data environment, familiar with regulatory controls and enterprise data governance.
Strong operational focus on production reliability, testing, and incident management within Agile delivery teams.
Skilled in batch and event-driven data integration workflows, with ability to collaborate with global teams and support complex migrations.