Senior Data Quality Analyst

Overview

Lead data quality initiatives for Finance platforms by designing and operationalizing DQ rules, pipelines and remediation processes, partnering with stakeholders to ensure trusted, governed data for analytics and financial reporting.

What you'll do

• Lead business and IT discussions for DQ solution development, enhancements and support
• Be accountable and responsible for overall data accuracy and completeness for priority data elements
• Champion the data governance framework and support data cataloging and glossary efforts
• Create documentation and process maps, such as technical design documents, requirement documents, BRDs, project plans and status decks
• Gather requirements as a technical business analyst
• Design, build and operate end-to-end data quality pipelines and validations to support reconciliation and data quality for finance datasets
• Author, implement and monitor data quality rules and expectations
• Build and maintain data pipelines using Snowflake/Snowpark and/or AWS Glue (Crawlers, Jobs, Workflows, Glue Data Quality)
• Integrate Glue workflows with Apache Airflow for orchestration and develop Lambda functions for processing and orchestration tasks
• Design and develop API integrations connecting AWS, Snowflake and Web UI etc. to support the data quality solution
• Drive DQ remediation with data owners and stewards: automate fixes where safe, escalate and manage manual remediation
• Capture metadata, lineage and access controls; collaborate with governance and security teams
• Produce technical documentation, requirement specs and DQ dashboards; mentor junior analysts

What you'll need

• 8+ years of experience in data management, data quality/governance or related roles
• Strong hands-on experience with SQL and Python
• Experience with Snowflake and/or the AWS data stack (AWS Glue, Glue Data Catalog, Lambda, Athena)
• Proven experience authoring and operationalizing DQ rules and remediation processes
• Strong stakeholder engagement, requirements-gathering and documentation skills
• Bachelor's degree or equivalent practical experience
• Core skills: data profiling, cleansing, enrichment and DQ frameworks; pipeline orchestration and automation; troubleshooting, logging and observability best practices (CloudWatch, monitoring tools); version control (Git) and collaboration tools (Azure DevOps); strong analytical, communication and stakeholder management skills

Nice to have

• Experience integrating Glue workflows with Apache Airflow
• Experience with Alation or other data catalog tools
• Certifications: AWS (Data Analytics or Solutions Architect), DAMA/DMBOK, or DQ certification
• Experience building dashboards or WebUI to support DQ dashboards
• Proficiency in AI tools such as Co-Pilot, GitHub Copilot, VS Code, Snowflake Cortex

Details

• Location: Bangalore, Shared Services preferred
• Work mode: onsite, five days a week in the office
• Visa sponsorship is not available for this position