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Metro location, common Data Engineer title, and known employer increase applicant density.
Role requires banking risk/regulatory reporting and specific ETL/database tools, reducing cross-industry transferability.
Explicit 10+ years plus mandatory BFSI regulatory experience and specific tools makes filtering highly strict.
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Design, develop, and support enterprise-scale data pipelines and ETL/ELT processes with tools like ODI, Dataiku, and Python for Risk and Regulatory Reporting in Banking.
Provide L2/L3 production support including root cause analysis and incident management to ensure data quality, reconciliation, and adherence to SLAs in data platforms.
Lead Oracle and SQL development including database solutions, performance tuning, and supporting enterprise data warehouse modernization and governance initiatives.
10+ years of experience in Data Engineering and Data Warehousing with hands-on expertise in Oracle, SQL/PLSQL, ODI, Python, and ETL/ELT development.
Experience supporting Risk and Regulatory Reporting platforms within Banking and Financial Services domains.
Strong understanding of RFO Master and Satellite data models and production support processes including incident and problem management.
Work Experience Required: 10+ years in relevant domain and technology skills. Notice Period: Not explicitly mentioned in the JD.
Experienced with end-to-end data pipeline development and maintenance in complex banking environments focused on risk and regulatory compliance reporting.
Proven capability in handling production support operations with strong troubleshooting, root cause analysis, and stakeholder communication skills.
Demonstrated ability to collaborate with cross-functional global teams including Business, Risk, Finance, and Technology to design and deliver compliant data solutions.