Back
Tier-1 brand and Bangalore increase density, while specialized DQ skills and seniority moderate competition.
Strong Snowflake/AWS Glue, finance data quality and governance requirements limit cross-industry transferability.
Explicit 8+ years plus mandatory Snowflake/AWS, SQL, Python and DQ experience create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead data quality initiatives and own data accuracy and completeness for finance platforms, focusing on designing, building, and operating end-to-end data quality pipelines and validations.
Drive partnerships with stakeholders for data governance, cataloging, and remediation processes, including automating fixes and managing manual interventions.
Produce technical documentation, design data quality dashboards, and mentor junior analysts, ensuring trusted data for financial analytics and reporting.
8+ years of experience in data management, data quality/governance, or related roles.
Strong hands-on skills in SQL and Python; experience with Snowflake and/or AWS data services (Glue, Lambda, Athena).
Work location requirement: Must be able to work 5 days a week from the Bangalore Shared Services office.
Bachelor’s degree or equivalent practical experience.
Experienced in leading technical and business discussions for data quality solution development in finance or similar data-intensive domains.
Skilled in designing and operationalizing data quality rules, pipelines, and automated remediation using AWS Glue, Snowflake, and orchestration tools like Apache Airflow.
Proficient in stakeholder engagement, requirement gathering, and technical documentation with a strong analytical and structured communication style.