Data Engineer

Position Title: Data Engineer

• Location: Hyderabad
• Grade: L3-1
• Hiring Manager: Sabya DG  

About the Job

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data & AI Products and Platforms Team as a Data Engineer and you can help make it happen.

What you will be doing:

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, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.

As a Data Engineer, you will join this dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work as a part of a Data & AI Product Delivery Pod, lead by a Product Owner, in an agile environment to deliver Data & AI Products. As a part of this team, you will be responsible for the design and development of data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data. You will have the ability to work on multiple data products serving multiple areas of the business.

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 build products that will be deployed globally on a leading-edge tech stack.

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

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

Data Product Engineering:

• Provide input into the engineering feasibility of developing specific R&D Data/AI Products

• Provide input to Data/AI Product Owner and Scrum Master to support with planning, capacity, and resource estimates

• Design, build, and maintain scalable and reusable ETL / ELT pipelines to ingest, transform, clean, and load data from sources into central platforms / repositories

• Structure and provision data to support modeling and data discovery, including filtering, tagging, joining, parsing and normalizing data

• Collaborate with Data/AI Product Owner and Scrum Master to share Progress on engineering activities and inform of any delays, issues, bugs, or risks with proposed remediation plans

• Design, develop, and deploy APIs, data feeds, or specific features required by product design and user stories

• Optimize data workflows to drive high performance and reliability of implemented data products

• Oversee and support junior engineer with Data/AI Product testing requirements and execution

Innovation & Team Collaboration:

• Stay current on industry trends, emerging technologies, and best practices in data product engineering

• Contribute to a team culture of innovation, collaboration, and continuous learning within the product team

About You:

Key Functional Requirements & Qualifications:

· Bachelor’s degree in software engineering or related field, or equivalent work experience

· 2-3 years of experience in data engineering, software engineering, or other related fields

· Experience working in life science/pharmaceutical industry and understanding of R&D business preferred

· Excellent communication and collaboration skills

· Working knowledge and comfort working with Agile methodologies

Key Technical Requirements & Qualifications:

· Experience in cloud-based data platforms and analytics engineering stack (AWS, Snowflake and DBT)

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

· Working knowledge of scripting languages (Python, Shell scripting)

· Good knowledge of SQL and relational databases technologies/concepts

· Understanding of data structures and algorithms

· Experience working with data models and query tuning

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

Applications received after the official close date will be reviewed on an individual basis.