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Strong employer brand and Bangalore location, but specialized DQ stack reduces applicant density.
Data engineering and DQ skills transferable, but finance reporting domain knowledge increases fit sensitivity.
Explicit 8+ years requirement and mandatory Snowflake/AWS/Python skills raise filtering strictness.
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Lead data quality initiatives for Finance platforms including designing and operating data quality rules, pipelines, and remediation processes.
Own overall data accuracy and completeness for priority finance datasets, partnering with stakeholders for trusted data governance.
Develop and maintain data quality solutions using Snowflake, AWS Glue, and integrate orchestration tools like Apache Airflow, while producing technical documentation and mentoring junior analysts.
8+ years’ experience in data management, data quality, or related roles.
Strong hands-on skills with SQL and Python; experience with Snowflake and AWS data stack (Glue, Lambda, Athena).
Bachelor’s degree or equivalent practical experience.
Must be willing to work 5 days a week from Bangalore office.
Experienced in authoring and operationalizing data quality rules and remediations in finance data contexts.
Comfortable leading business and IT discussions, documenting complex requirements, and managing stakeholder expectations.
Proficient in building and orchestrating data pipelines with strong familiarity in Snowflake, AWS Glue, and workflow automation tools like Apache Airflow.