Digital R&D Data Engineering Lead at Sanofi

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

16 Oct, 26

Salary

0.0

Posted On

18 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, AWS, Snowflake, Informatica IICS, Apache Airflow, dbt, Terraform, CI/CD, Data Modeling, ETL/ELT Pipelines, API Integration, Agile Methodologies, Cloud-Native Architecture, Data Governance, Data Lake Architecture

Industry

Pharmaceutical Manufacturing

Description

Job Title: R&D Data Engineering Lead Location: Hyderabad Job type: Permanent, Full time 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 R&D Data Engineering Lead 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 an R&D Data Engineering Lead, 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 modelling 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 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 8+ years of experience in data product engineering, software engineering, or other related field Understanding of R&D business and data environment preferred Excellent communication and collaboration skills Working knowledge and comfort working with Agile methodologies Key Technical Requirements & Qualifications: Mandatory Skills: Programming & Data Languages: Python SQL Cloud Platforms – AWS Amazon S3 AWS Lambda AWS Glue Amazon EC2 AWS IAM Amazon SQS Amazon API Gateway Amazon EventBridge Amazon EMR Amazon Managed Workflows for Apache Airflow (MWAA) Cloud Data Warehouse: Snowflake Data Modeling Performance Tuning Query Optimization ETL / ELT & Data Integration: Informatica Intelligent Cloud Services (IICS) ETL Development ELT Pipelines Data Transformation Data Orchestration & Transformation Apache Airflow dbt (Data Build Tool) Infrastructure as Code (IaC) & DevOps Terraform CI/CD for Data Pipelines Core Data Engineering Concepts Data Modeling (Star Schema, Snowflake Schema) Data Lake & Data Warehouse Architecture Batch & Streaming Data Processing API Integrations Data Governance Cloud-Native Architecture Proven expertise in building scalable data pipelines and workflows Nice to Have: Generative AI & Advanced Data Platforms AWS Bedrock (Agents, Agent Core) Vector Databases (OpenSearch Vector Engine). Understanding of Snowflake Cortex and Streamlit applications 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 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! 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!

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Lead the design and development of scalable data pipelines and workflows to ingest and process complex R&D data. Collaborate with Product Owners in an agile environment to deliver AI and data products that accelerate drug and vaccine development.