Sr. Data Engineer

Solventum (3M Healthcare); Bengaluru; Sur place; INR 2 500 000 - 6 000 000; Plein temps

Résumé du poste

Solventum is seeking a Senior Data Engineer in Bengaluru to design, build, and maintain robust ETL/ELT pipelines for large, evolving datasets and to support AI/GenAI data workflows.

You will develop scalable batch and streaming pipelines on Snowflake or Databricks, create semantic data models, and ensure data quality, lineage, and monitoring across enterprise datasets. Lead and mentor teammates while coordinating with cross-functional teams.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, engineering or related technical field and 6–8 years of relevant experience.
• Strong experience with SQL and NoSQL databases.
• Hands-on experience building large-scale data pipelines in cloud environments (Azure or AWS).
• Experience with Databricks or Snowflake and Spark.
• Familiarity with feature stores, vector databases, or model-adjacent data systems.
• Proficiency in Python and data-frame libraries (Pandas, Polars).
• Experience with ETL/workflow orchestration tools (Databricks Workflows, Azure Data Factory, AWS Glue).
• Excellent communication and ability to explain technical concepts to non-technical stakeholders.

Responsabilités

• Design, build, and maintain robust ETL/ELT pipelines for large, evolving datasets.
• Support embedding generation and vector-based data pipelines for AI use cases.
• Develop scalable batch and streaming data pipelines on cloud platforms (Snowflake or Databricks).
• Create semantic data models transforming raw data into analytics-ready datasets.
• Implement data quality checks, lineage, and monitoring for enterprise-scale datasets.
• Collaborate with product, analytics, IT, and business teams to enable data-driven initiatives.
• Provide technical leadership and mentorship to other data engineers.

Connaissances

SQL & NoSQL

Python

Data pipelines

Databricks / Spark

Cloud platforms

Data quality & lineage

Communication

Formation

Bachelor's degree in CS/Math/Engineering

Outils

Databricks

Snowflake

Azure Data Factory

AWS Glue

Description du poste

Senior Data Engineer (Solventum)

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:

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

• 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.