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Strong State Street brand, Bangalore metro, and a mid-level generalist data role increase applicant competition.
Core ETL and Python skills are transferable, though financial services controls add domain specificity.
Explicit 3+ years, mandatory ETL tools, production pipeline experience and regulatory controls increase shortlisting strictness.
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Develop and maintain ETL/ELT pipelines for ingestion, transformation, and publishing of client and vendor data supporting risk analytics and reporting.
Ensure production reliability including monitoring, alerting, incident triage, and implementing data quality, reconciliation, and control measures adhering to regulatory requirements.
Collaborate with cross-functional teams to modernize data movements, support migrations from legacy systems, and provide documentation and knowledge transfer to support teams.
3+ years total 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.
Experience with file-based ingestion systems (e.g., ROSCO/Filewatcher) and familiarity with publishing risk data to data marts like Snowflake.
Primary location Bangalore with openness to night shift; occasional travel may be required.
Experienced in production-grade ETL/ELT development within risk data or financial services domains, focusing on compliance, quality, and control frameworks.
Capable of independent delivery within Agile teams and collaborating with senior leads to translate requirements into reliable automated workflows.
Comfortable supporting production reliability and incident management, along with documentation and mentoring junior engineers.