Senior Data Engineer
About The Position
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Always innovating, we bring together dedicated people and diverse perspectives from across our global network, empowering each other to keep breaking new ground. We are People Insights & Technology (PI&T), part of the People & Culture (P&C) organization. Our vision is to unleash exponential people & business impact through data driven decisions, surfacing actionable insights and embracing people-centric technology. As part of the People Insights Area of Practice (AoP), we work as one team to unlock the full potential of our people data and technology, informing Roche decisions through research-based insights. The Opportunity: Senior Data Engineer to work on an Agile team with other data and software engineers to develop and maintain robust data pipelines and data management systems. Partners closely with data science and business intelligence teams to understand business needs and co-create solutions in service of downstream products. Brings strong attention to detail and a passion for delivering highly accurate and available data to enable downstream insights and drive business value.
Requirements
- 5+ years of experience as a Data Engineer.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Mathematics, or related field. Advanced degrees or certifications in technical or leadership competencies can be advantageous
- Python experience (Pandas preferred)
- CI/CD tools and methodologies (GitLab, branches, code reviews, merge requests, etc)
- Understanding of DataOps Practices
- RDBMS/NoSQL
- Docker experience
Nice To Haves
- AWS experience preferred (EC2 / Lambda / Glue / S3)
- Snowflake or similar cloud data platform experience preferred
Responsibilities
- Delivers enhancements to existing data pipelines and develops new pipelines based on defined requirements with minimal guidance
- Demonstrates strong understanding of data engineering tools and concepts and considered a SME for most, if not all pipelines
- Detail-oriented mindset and co-creates pipelines with secure, well-validated data across multiple system domains with other squad members in a way that aligns with long-term strategy for People Insights
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
