Job title: Data Engineer

Location: Hyderabad

About Sanofi:

We are an innovative global healthcare company, driven by one purpose: 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.

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions that will accelerate Manufacturing & Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives.

Who You Are:You are a dynamic Data Engineer interested in challenging the status quo to design and develop globally scalable solutions that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards.

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack.

World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets

There are multiple vacancies across our Digital profiles and NA region. Further assessments will be completed to determine specific function and level of hired candidates.   

Job Highlights:

Propose and establish technical designs to meet business and technical requirements

Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies

Create data pipelines / ETL pipelines and optimize performance

Test and validate developed solution to ensure it meets requirements

Create design and development documentation based on standards for knowledge transfer, training, and maintenance

Work with business and products teams to understand requirements, and translate them into technical needs 

Adhere to and promote to best practices and standards for code management, automated testing, and deployments

Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases  

Develop automated tests for CI/CD pipelines

Gather/organize large & complex data assets, and perform relevant analysis   

Conduct peer reviews for quality, consistency, and rigor for production level solution

Actively contribute to Data Engineering community and define leading practices and frameworks

Communicate results and findings in a clear, structured manner to stakeholders

Remains up to date on the company’s standards, industry practices and emerging technologies 

Key Functional Requirements & Qualifications:

Experience working cross-functional teams to solve complex data architecture and engineering problems 

Demonstrated ability to learn new data and software engineering technologies in short amount of time

Good understanding of agile/scrum development processes and concepts

Able to work in a fast-paced, constantly evolving environment and manage multiple priorities  

Strong technical analysis and problem-solving skills related to data and technology solutions

Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders

Pragmatic and capable of solving complex issues, with technical intuition and attention to detail  

Service-oriented, flexible, and approachable team player 

Fluent in English (Other languages a plus)

Key Technical Requirements & Qualifications:

Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field 

4 to 5+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/Dbt

Understanding of data structures and algorithms

Working knowledge of scripting languages (Python, Shell scripting)

Experience in cloud-based data platforms (Snowflake is a plus)

Experience with job scheduling and orchestration (Airflow is a plus)

Good knowledge of SQL and relational databases technologies/concepts

Experience working with data models and query tuning

Nice to haves:

Experience working in life sciences/pharmaceutical industry is a plus

Familiarity with data ingestion through batch, near real-time, and streaming environments

Familiarity with data warehouse concepts and architectures (data mesh a plus)

Familiarity with Source Code Management Tools (GitHub a plus)

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. 

Pursue Progress. Discover Extraordinary.

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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.

At Sanofi, we provide equal opportunities to all regardless of race, color, 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!

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!