Senior Principal Data Engineer
1 week ago
Description:
GSK is committed to building a best-in-class data and prediction-powered team that is ambitious for patients. The Data Engineer - Clinical Solutions role is a senior technical position that will contribute to the construction of the development data fabric and data strategy.
This role will interact with architects, engineers, data modelers, product owners, and other team members in Clinical Solutions and R&D. The Data Engineer demonstrates both depth and breadth across key data engineering competencies, including software development, testing, DevOps, data science/analytics, and cloud.
Primary responsibilities include using Azure cloud services and GSK data platform tools to ingest, egress, and transform data from multiple sources. The role will also demonstrate core engineering knowledge/experience of industry technologies, practices, and frameworks such as data fabric and scaling data platforms, containerization, cloud-based platforms, data analytics, machine learning, and data streaming.
Key Responsibilities:
- Working with other teams to define devops and data platform practices to meet the requirements of clinical solutions.
- Supporting engineering teams in the adoption and creation of data fabric best practices.
- Conducting PoCs of new technologies and helping to embed them in product teams.
- Being part of a cutting-edge team creating the Development Data Fabric.
- Ensuring that technical delivery is fully compliant with GSK Security, Quality, and Regulatory standards.
- Ensuring use of relevant R&D Tech / central services and collaborating with service partners in identification and delivery of service improvements.
- Maintaining best practices for engineering and architecture on our Confluence site.
- Pro-actively engaging in experimentation and innovation to drive relentless improvement.
- Providing leadership, technical direction, and GSK expertise to architecture and engineering teams composed of GSK FTEs, strategic partners, and software vendors.
Important Qualifications:
- Total 15+ years of experience and proficient with at least 3 of the below skills and can demonstrate knowledge and value with relevant experience in all the following competencies:
- Software development, architecture design & technology platforms/frameworks
- Data Platforms and Domain-driven design
- Agile, DevOps & Automation [of testing, build, deployment, CI/CD, etc.]
- Data science (e.g. AI/ML), data analytics & data quality/integrity
- Testing strategies & frameworks
- Demonstrated skill in delivering high-quality engineered data products
- Knowledge of industry standards and technology platforms aligned to GSK and R&D roadmaps
- Excellent communication, negotiation, influencing, and stakeholder management skills
- Customer focus and excellent problem-solving skills
- Computer Science or related bachelor's degree – MS in Computer Science is preferred
- Familiarity and use of various open-source ecosystems including JavaScript, Bigdata, java, python, etc.
- Good understanding of various software paradigms: domain-driven, procedural, data-driven, object-oriented, functional
- Familiar with .Net Core (C#), Java, Python
- Demonstrable knowledge depth in more than one area of software engineering and technology
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