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Popular mid-level data engineer role in metro Bangalore with broad skills and a known fintech brand.
Regulatory reporting and AML/KYC domain expertise required increases industry specificity and reduces transferability.
Explicit 3-5 years requirement plus specific SQL, Python, connectors, cloud, and regulatory expertise increases filtering.
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Design, develop, and maintain scalable data pipelines and API connectors for regulatory compliance and portfolio intelligence.
Translate complex regulatory requirements into data models, processing logic, and auditable data flows for internal and external reporting.
Collaborate with Compliance, MLRO, Risk, and Product teams to operationalize compliance rules and ensure data quality and audit readiness.
3-5 years of professional experience in Data Engineering, ETL/ELT pipeline development, or systems integration.
Strong SQL skills including query optimization, complex transformations, and data modelling.
Proficiency in Python or similar programming language, and experience with API connectors (REST, SOAP), XML/JSON formats.
Experience with cloud data platforms (e.g., AWS Redshift, Snowflake) and data orchestration tools (e.g., Apache Airflow).
Experienced in bridging compliance/risk domain knowledge with technical data engineering to build regulatory data solutions.
Skilled in designing efficient analytical data models optimized for regulatory reporting, audit trails, and risk analytics.
Operates well in cross-functional environments collaborating with technical and non-technical stakeholders, especially compliance and risk teams.