Data Engineer – Supply Chain Analytics

Job title: Data Engineer – Supply Chain Analytics

• 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:

• Building and maintaining data pipelines and ETL processes: Ensuring data is efficiently extracted, transformed, and loaded from various sources

• Managing data storage and ensuring data quality: Overseeing databases and data warehouses to maintain high data quality

• Developing and maintaining databases and data warehouses: Creating and managing the infrastructure for data storage

• Collaborating with data scientists and analysts: Working closely with other data professionals to understand business requirements and provide data solutions

• Writing scripts and code to automate data processes: Using programming languages to streamline data workflows

About you:

• Experience: 2-4 years of experience in data engineering domain.

• Soft skills: Strong analytical and problem-solving skills. Effective communication skills to convey technical information to non-technical stakeholders. Attention to detail and accuracy. Ability to work independently and as part of a team.

• Technical skills: Proficiency in programming languages: Knowledge of languages like Python, R, or Scala. SQL and relational databases: Hands-on in writing SQL code and experience with relational databases. Cloud platforms: Experience with cloud services such as Snowflake, AWS or Azure. Git repository / version controlling familiar in working with git repository / version controlling platform.

• Workflows orchestration/monitoring: experience of working with Airflow tool to programmatically author, schedule, and monitor workflows.

• Education: Engineering/B.Tech/M.Tech Degree.

• Languages: Verbal and written fluency in English.

Why choose us?

• Bring the miracles of science to life alongside a supportive, future-focused team.

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks’ gender-neutral parental leave.

• Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.