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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
Apply at Healthcare

What you’ll work on

Full posting
  • Design, 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

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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

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Job description

View original posting ↗

 

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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Location & working pattern

IN, Bangalore Kar

Work location: · Hybrid Domestic Travel: May include up to [20%]
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