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Data Engineer
Job Overview
Location
San Francisco, California
Job Type
Full Time
Date Posted
1 month ago
Additional Details
Job ID
24651
Job Views
23
Job Description
- Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”
- Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
- Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time
- Builds modular code / libraries / services / etc using modern data engineering tools (Python/Spark, Kafka, Storm, …) and orchestration tools (e.g. Google Workflow, Airflow Composer)
- Produces well-engineered software, including appropriate automated test suites and technical documentation
- Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
- Adhere to QMS framework and CI/CD best practices
- Provide L3 support to existing tools / pipelines / services
- Bachelors degree +2 years of data engineering experience.
- Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes)
- Experience in automated testing and design
- Experience with DevOps-forward ways of working
- Experience with at least one common programming language: e.g., Python, Scala, Java etc.
- Experience with data modelling, database concepts and SQL
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