Job
Description
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 Coach other members of data engineering teams on workflows, technical topics, pipeline management 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 6 + years of e xperience 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 platform s (Snowflake is a plus) Exper ience 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 .
