Site Name: USA - California - San Francisco, Cambridge 300 Technology Square, London The Stanley Building, Seattle Sixth AvePosted Date: Dec 18 2023At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: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.Automation of end-to-end data flows:Faster and reliable ingestion of high throughput data in genetics, genomics, and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data inEnabling governance by design of external and internal data:with engineered practical solutions for controlled use and monitoringInnovative disease-specific and domain-expert specific data products: to enable computational scientists and their research unit collaborators to get faster to key insights leading to faster biopharmaceutical development cycles.Supporting e2e code traceability and data provenance:Increasing assurance of data integrity through automation, integrationImproving engineering efficiency:Extensible, reusable, scalable,updateable,maintainable, virtualized traceable data and code would be driven by data engineering innovation and better resource utilization.We are looking for a skilled and experienced Data Platform Engineer I to join our growing team. Data Platform Engineers take full ownership of delivering high-performing, high-impact data platform as products, and services, from a description of a problem customer Data Engineers are trying to solve all the way through to final delivery (and ongoing monitoring and operations). They are standard bearers for software engineering and quality coding practices within the team and are expected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project. They devise useful metrics ensuring their services are meeting customer demand, having an impact, and iterate to deliver and improve on those metrics in an agile fashion.A Data Platform Engineer I should have awareness of the most common tools (languages, libraries, etc) within their specialization. They should be constantly seeking feedback and guidance to further develop their technical skills and expertise and should take feedback well from all sources in the name of development.Why You?Basic QualificationsWe are looking for professionals with these required skills to achieve our goals:Bachelor's degree in computer science, Software Engineering, or related discipline.Experience with standard components for cloud-based data pipelines including ingestion, transformation, and orchestration.Experience with Standard components for publishing data tofile-based, relational, and other sorts of data storage.Experience with Standardized physical storage and search / indexing systems.Experience with Standard API architectures and tooling for QA / evaluation.Provide L3 support to existing tools / services / pipelines.Preferred Qualifications: