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Tier-1 brand, metro location, and mid-level generalist data role driving high applicant competition.
ETL, SQL, Python, and data warehousing skills transfer readily across industries despite preferred financial services experience.
Explicit years plus mandatory ETL, SQL, Python, and data security requirements make shortlisting highly stringent.
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Design, develop, and support ETL and data integration solutions including batch scheduling, monitoring, and incident response in production environments.
Perform data validation, reconciliation using SQL, and resolve source-to-target discrepancies in partnership with upstream and downstream teams.
Coordinate work and communicate technical and architectural concepts with U.S. and India-based partners, supporting SaaS vendor evaluations, build-versus-buy analyses, and AI-enabled solution adoption.
2-5 years of experience; 1-2 years specifically in financial services preferred.
Bachelor’s degree in Information Systems, Computer Science, or related field, or equivalent professional experience.
Hands-on experience with ETL development, Python scripting, SQL, relational databases, and data warehousing concepts (fact/dimension tables, star/snowflake schemas, SCDs).
Knowledge of data security principles, production environment compliance, and familiarity with Microsoft Copilot and prompt-based AI capabilities.
Experienced in enterprise business data integration across HR, Compliance, Legal, and Project Portfolio domains.
Comfortable coordinating multi-location teams and translating complex technical concepts for business and technology stakeholders.
Skilled in working with modern product stacks including Java, Python, React, APIs, CI/CD pipelines, and GitHub with code review and secure coding standards.