Sr. Data Engineer

IND KCI Medical India Private limited; Bengaluru; Hybrid; INR 1,800,000 - 2,600,000; Full time

Job summary

Solventum is looking for a Senior Data Engineer to design, build, and maintain robust ETL/ELT pipelines for large, evolving datasets. You will support embedding generation and vector-based data pipelines for AI/GenAI use cases, and develop scalable batch and streaming workflows on Snowflake or Databricks.

You’ll collaborate with product, analytics, IT, and business teams to ensure data quality, lineage, and reliability while mentoring other engineers and shaping modern data architectures.

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 with 10 years of job related experience.
• 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 data-frame libraries (Pandas, Polars).
• Experience with ETL/workflow orchestration tools (Databricks Workflows, Azure Data Factory, AWS Glue).
• Familiarity with common data formats (CSV, JSON, XML, Parquet).
• Strong communication skills and English proficiency across a global team.

Responsibilities

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

Skills

SQL

NoSQL

Databricks

Snowflake

Spark

Python

Pandas

Polars

ETL workflows

Azure Data Factory

AWS Glue

Databricks Workflows

CSV/JSON/Parquet

Data quality

Data lineage

English communication

Education

Bachelor’s Degree in CS/Math/Engineering

High School Diploma + 10 years experience

Tools

Databricks

Snowflake

Spark

Azure Data Factory

AWS Glue

Job description

Senior Data Engineer (Solventum)

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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

• 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
• 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

• 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%]

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.

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About Solventum

A new healthcare company with a rich history. With more than 70 years of delivering healthcare innovations, we continue to move the industry forward by helping to solve our customers’ biggest challenges. 20,000+ employees worldwide. Solventum relies on the courage and the boundless insights of professionals worldwide to achieve exceptional results for our customers and those who rely on them. Healthcare that leads with heart and humility starts with listening and never finishes, only evolves. As long as healthcare challenges remain unsolved, we will be here, united by empathy and a relentless belief that countless lives are improved through our work. Operations in 38 countries. Driven by our dedication to improved outcomes for all we serve, we break through by making unprecedented connections that impact lives. In more than 300 offices and facilities around the world, we work closely with customers and partners to create positive healthcare outcomes that transcend borders. To realize our shared vision, we harness diverse talents and perspectives from every background to not only address our customers' most urgent priorities but anticipate the needs of the future.