Senior Data Engineer
IN, Bangalore Kar
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, build, and maintain ETL/ELT pipelines for large, complex datasets
Develop scalable batch and streaming data pipelines on cloud data platforms
Create and evolve semantic data models for analytics-ready datasets
Support embedding generation and vector-based pipelines for AI use cases
Implement data quality checks, lineage, and monitoring
From the employer’s posting
Design, build, and maintain robust ETL/ELT pipelines supporting large, complex datasets with evolving schemas
Develop scalable batch and streaming data pipelines using cloud-based data platforms (e.g., Snowflake or Databricks)
Create and evolve semantic data models that transform raw data into analytics-ready, trustworthy datasets
Support embedding generation and vector-based data pipelines for AI and GenAI use cases
Implement data quality checks, lineage, and monitoring for enterprise-scale datasets
Education & alternatives
To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: - Bachelor’s Degree or higher in Computer Science, Mathematics, engineering or a related technical field AND 6-8 years of job related experience OR High School Diploma/GED from AND 10 years of the same job-related experience In addition to the above requirements, the following are also required:
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- NoSQL
- Snowflake
- Spark
- pandas
- Polars
Source — Tool mentions in context
- Experience managing data quality, validation, and lineage for large, complex datasets - Proficiency in Python and experience with data-frame libraries (e.g., Pandas, Polars) - Experience with ETL/workflow orchestration tools (e.g., Databricks Workflows, Azure Data Factory, AWS Glue)
In addition to the above requirements, the following are also required: - Strong experience with SQL, relational and NoSQL databases - Hands-on experience building and maintaining large-scale data pipelines in cloud environments (Azure or AWS)
- Strong experience with SQL, relational and NoSQL databases - Hands-on experience building and maintaining large-scale data pipelines in cloud environments (Azure or AWS) - Experience with Databricks or Snowflake and distributed data processing frameworks (e.g., Spark)
- Proficiency in Python and experience with data-frame libraries (e.g., Pandas, Polars) - Experience with ETL/workflow orchestration tools (e.g., Databricks Workflows, Azure Data Factory, AWS Glue) - Familiarity with common data formats (CSV, JSON, XML, Parquet, etc.)
- Support embedding generation and vector-based data pipelines for AI and GenAI use cases - Develop scalable batch and streaming data pipelines using cloud-based data platforms (e.g., Snowflake or Databricks) - Create and evolve semantic data models that transform raw data into analytics-ready, trustworthy datasets
- Hands-on experience building and maintaining large-scale data pipelines in cloud environments (Azure or AWS) - Experience with Databricks or Snowflake and distributed data processing frameworks (e.g., Spark) - Familiarity with feature stores, vector databases, or model-adjacent data systems
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 6, 2026 · 15 days ago
- Recorded sightings
- 54
- Last seen by us
- Oct 21, 2026
- Reposted
- once since Jul 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
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: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/
Job Description:
Senior Data Engineer (Solventum)
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
As a Senior Data Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:
Design, build, and maintain robust ETL/ELT pipelines supporting large, complex datasets with evolving schemas
Support embedding generation and vector-based data pipelines for AI and GenAI use cases
Develop scalable batch and streaming data pipelines using cloud-based data platforms (e.g., Snowflake or Databricks)
Create and evolve semantic data models that transform raw data into analytics-ready, trustworthy datasets
Build data preprocessing, validation, and quality-assurance tooling to ensure reliability and correctness
Design pipelines that support both offline model training and low-latency inference workloads
Drive the design of modern data architectures that balance scalability, performance, and maintainability
Implement data quality checks, lineage, and monitoring for enterprise-scale datasets
Work closely with product, analytics, AI/ML, IT, and business teams to understand data needs and enable data-driven initiatives
Interface with stakeholders across manufacturing, quality, post-market surveillance, commercial, and clinical domains
Provide technical leadership and mentorship to other data engineers, promoting best practices and continuous improvement
Your Skills and Expertise
To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:
Bachelor’s Degree or higher in Computer Science, Mathematics, engineering or a related technical field AND 6-8 years of job related experience OR High School Diploma/GED from AND 10 years of the same job-related experience
In addition to the above requirements, the following are also required:
Strong experience with SQL, relational and NoSQL databases
Hands-on experience building and maintaining large-scale data pipelines in cloud environments (Azure or AWS)
Experience with Databricks or Snowflake and distributed data processing frameworks (e.g., Spark)
Familiarity with feature stores, vector databases, or model-adjacent data systems
Experience managing data quality, validation, and lineage for large, complex datasets
Proficiency in Python and experience with data-frame libraries (e.g., Pandas, Polars)
Experience with ETL/workflow orchestration tools (e.g., Databricks Workflows, Azure Data Factory, AWS Glue)
Familiarity with common data formats (CSV, JSON, XML, Parquet, etc.)
Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
Professional proficiency in English, with regular collaboration across global team
Additional qualifications that could help you succeed even further in this role include:
Experience in healthcare, medical device, life sciences, or manufacturing environments
Familiarity with Business Intelligence tools and analytics platforms
Experience supporting AI/ML use cases through high-quality, well-modeled data
Knowledge of data privacy, security, and compliance best practices
Additional Requirements
In this role, you may be required to enter healthcare or other third-party facilities. Those facilities may, in turn, require you to possess certain licenses, vaccinations, and/or other credentials or qualifications (collectively “prerequisites to entry”) for regulatory, safety, or other business reasons. All information will be kept in accordance with applicable law and Solventum policies. In order to respond to the prerequisites to entry, Solventum may share your information with the providers of medical screens, vaccinations, or verifications as well as the healthcare or other third-party facilities requiring the prerequisites to entry.
Work location:
· Hybrid
Domestic Travel: May include up to [20%]
Supporting Your Well-being
Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.
Diversity & Inclusion
(*) We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, gender, sexual orientation, age, civil status, disability, family status, or membership of the travelling community.
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.
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
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Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
IN, Bangalore Kar
Work location: · Hybrid Domestic Travel: May include up to [20%]
- Work authorization
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