Data Operations & Quality Analyst

At Solventum, we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum, and we’re committed to protecting your personal information—learn more in our Privacy Policy                 

Job Description:

3M Health Care is now Solventum

At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.

We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.

The Impact You’ll Make in this Role:

• 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.

• 7+ years of relevant professional experience, with a 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.

Additional qualifications (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.

Work location:

·       Bangalore - Hybrid.

Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process.  Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.

Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.

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