Sr. Data Engineer
Canada Pharma Campus
Roche
As a pioneer in healthcare, we have been committed to improving lives since the company was founded in 1896 in Basel, Switzerland. Today, Roche creates innovative medicines and diagnostic tests that help millions of patients globally.Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. 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.
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 pipeline
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
Who You Are:
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
AWS experience preferred (EC2 / Lambda / Glue / S3)
Snowflake or similar cloud data platform experience preferred
Relocation benefits are not available for this position.
Who we are
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.
As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.
Roche is an Equal Opportunity Employer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Business Intelligence CI/CD Computer Science Data management DataOps Data pipelines Docker EC2 Engineering GitLab Lambda Mathematics NoSQL Pandas Pharma Pipelines Python RDBMS Research Snowflake
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