Senior Data Engineer - Supply Chain Analytics

Sanofi India Ltd; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Sanofi India Ltd. is seeking a Sr. Data Engineer – Supply Chain Analytics to design and optimize data pipelines for global supply chain data. The role focuses on building scalable ETL/ELT processes, data modeling in Snowflake, and enabling analytics for stakeholders across markets.

The ideal candidate has 7–10 years in data engineering, strong Python/SQL skills, Snowflake expertise, and experience with orchestration tools like Apache Airflow. Hyderabad-based role with full-time commitment.

Qualifications

• Strong proficiency in Python and SQL for data engineering.
• Experience with Snowflake data modeling and performance tuning.
• Experience with ETL/ELT pipelines and data orchestration tools.

Responsibilities

• Design, build, and optimize ETL/ELT pipelines for supply chain data.
• Develop data models in Snowflake to support KPIs.
• Maintain data quality checks, lineage, and governance.

Skills

Python

SQL

Airflow

Snowflake

Data modeling

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

ETL/ELT pipelines

Job description

Sr. Data Engineer – Supply Chain Analytics Job title : Sr. Data Engineer Location : Hyderabad

About the job

Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The Global M&S Services acts as a cornerstone to this effort. Our team is responsible for delivering and supporting Global M&S teams in the area of regulatory compliance, maintenance of product licenses and technical writing of CMC documents. The team members of the global M&S Services Hub will act as partners in carrying out tasks and fulfilling responsibilities to support global quality activities with a focus on technical writing.

Main Responsibilities

• Data Pipeline Development — Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver supply chain data from multiple sources (ERP, IBP, operational systems) using Python, SQL, dbt, and Airflow.
• Data Modelling & Architecture — Develop and optimize data models in Snowflake to support supply chain KPIs
• Analytics Enablement — Power BI dashboards understanding and self-service reporting solutions for supply chain stakeholders across global markets.
• Data Quality & Governance — Implement data quality checks, monitoring, and lineage tracking to ensure accuracy and reliability of supply chain data assets.
• Collaboration & Stakeholder Engagement — Partner with supply chain planners, SAP experts, and product owners to understand requirements and deliver impactful data solutions.
• Continuous Improvement — Identify opportunities to optimize existing pipelines, reduce latency, and improve data availability for business decision-making.
• Documentation — Maintain clear technical documentation for data pipelines, models, and processes.

About you

Experience: 7–10 years of experience in data engineering, with a strong focus on supply chain or operations analytics. Technical Skills: Advanced proficiency in Python and SQL Hands‑on experience with Snowflake (data modelling, performance tuning, query optimization) Experience building and managing workflows with Apache Airflow or equivalent orchestration tools - intermediate Supply Chain Domain Knowledge — Good to have understanding of supply chain processes including demand planning, inventory management, logistics, and S&OP/IBP cycles. Data Architecture — Experience designing scalable data architectures (data lakes, data warehouses, medallion architecture). Education — Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field.

Equal Opportunities

Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com ! Pursue progress , discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

Experience Level Senior Level