Sr. Data Engineer – Supply Chain Analytics

Posted Yesterday
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Hyderabad, Telangana, IND
In-Office
Senior level
Healthtech
The Role
Designs and maintains scalable supply chain ETL/ELT pipelines using Python, SQL, dbt, and Airflow. Develops Snowflake data models, enables Power BI reporting, implements data quality and governance controls, and improves pipeline performance and data availability. Collaborates with supply chain planners, SAP experts, and product owners to deliver analytics solutions and maintains technical documentation.
Summary Generated by Built In

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.

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!

Skills Required

  • 7-10 years of experience in data engineering, with a strong focus on supply chain or operations analytics
  • Advanced proficiency in Python and SQL
  • Hands-on experience with Snowflake, including data modeling, performance tuning, and query optimization
  • Intermediate experience building and managing workflows with Apache Airflow or equivalent orchestration tools
  • Understanding of supply chain processes, including demand planning, inventory management, logistics, and S&OP/IBP cycles
  • Experience designing scalable data architectures, including data lakes, data warehouses, and medallion architecture
  • Bachelor's or master's degree in computer science, engineering, data science, or a related field

Sanofi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.

  • Retirement Support — Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
  • Parental & Family Support — Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
  • Equity Value & Accessibility — Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.

Sanofi Insights

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The Company
HQ: Paris
85,000 Employees
Year Founded: 1973

What We Do

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms

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