Sr. Data Engineer – Supply Chain Analytics
We couldn't confirm this posting on Sanofi Healthcare India Private Limited's site in our latest checks -- see current similar openings below.
About this opportunity
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 !
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 234 comparable Senior Data & Digital roles across 44 biopharma companies.
Salary context
82 of 234 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 234 comparable roles
+ 20 more countries
Seniority mix
234 of 234 peers have a known seniority level
Therapeutic area mix
7 of 234 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
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How we calculate "similar"
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.