Data Operations & Quality Analyst

Overview

Data Operations & Quality Analyst role at Solventum focused on building, monitoring and maintaining governed data loads, pipelines and quality controls supporting the Snowflake-to-Fabric transition.

What you'll do

• Build and maintain approved OTC data loads, table replications, transformations, and governed data models or views, supporting the Snowflake-to-Fabric transition and data-source consolidation.
• Monitor data pipelines and scheduled processes, troubleshoot data-quality and pipeline issues, and perform source-to-target SQL reconciliations across legacy, Snowflake, and Fabric environments.
• Develop and maintain automated quality controls for data freshness, completeness, duplicates, and agreed business rules, using approved AI-assisted tools where appropriate and independently validating their outputs.
• Implement approved mappings, reference data, and transformation logic through source-controlled, reviewed, and tested releases, including regression testing, recovery planning, and UAT handoffs.
• Maintain data lineage, technical documentation, runbooks, reconciliation evidence, and incident records to support repeatable operations, knowledge transfer, and effective escalation.
• Work within established architecture, security, access, and release-governance boundaries, coordinating with UAT/Ops, platform leads, and designated data or security owners.

What you'll need

• 7+ years of relevant professional experience
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
• Build and maintain approved OTC data loads, table replications, transformations, and governed data models or views, supporting the Snowflake-to-Fabric transition and data-source consolidation.
• Monitor data pipelines and scheduled processes, troubleshoot data-quality and pipeline issues, and perform source-to-target SQL reconciliations across legacy, Snowflake, and Fabric environments.
• Develop and maintain automated quality controls for data freshness, completeness, duplicates, and agreed business rules, using approved AI-assisted tools where appropriate and independently validating their outputs.
• Implement approved mappings, reference data, and transformation logic through source-controlled, reviewed, and tested releases, including regression testing, recovery planning, and UAT handoffs.
• Maintain data lineage, technical documentation, runbooks, reconciliation evidence, and incident records to support repeatable operations, knowledge transfer, and effective escalation.
• Work within established architecture, security, access, and release-governance boundaries, coordinating with UAT/Ops, platform leads, and designated data or security owners.

Nice to have

• Experience with Snowflake, Microsoft Fabric, SQL-based data pipelines, replication, and warehouse or lakehouse transformations.
• Familiarity with governed semantic models, GitHub, automated testing, and data-observability tools.
• Knowledge of OTC data and experience using approved AI-assisted development tools.
• Familiarity with Business Objects, Datameer, Microsoft Access, Tableau, Power BI, or Streamlit, particularly for tracing legacy-to-target data dependencies.

Details

• Work location: Bangalore - Hybrid.