Sr. Data Framework Engineer
Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage, UK - London - Brentford, USA - Pennsylvania - Philadelphia
Posted Date: Oct 26 2021
The mission of the Data Science and Data Engineering (DSDE) organization within GSK Pharmaceuticals R&D is to get the right data, to the right people, at the right time. The Data Framework and Ops organization ensures we can do this efficiently, reliably, transparently, and at scale through the creation of a leading-edge, cloud-native data services framework. We focus heavily on developer experience, on strong, semantic abstractions for the data ecosystem, on professional operations and aggressive automation, and on transparency of operations and cost.
We are looking for a skilled and experienced Sr. Data Framework Engineer to join our growing team. Sr. Data Framework Engineers take full ownership of delivering high-performing, high-impact data framework 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 Sr. Data Framework Engineer is a highly technical individual contributor, building modern, cloud-native systems for standardizing and templatizing data engineering, such as:
- Standardized physical storage and search / indexing systems
- Schema management (data + metadata + versioning + provenance + governance)
- API semantics and ontology management
- Standard API architectures
- Kafka + standard streaming semantics
- Standard components for publishing data to file-based, relational, and other sorts of data stores
- Metadata systems
- Tooling for QA / evaluation
Additional responsibilities also include:
- Partner with Tech where modifications to underlying tools (e.g. infrastructure as code, Cloud Ops, DevOps, logging / alerting) are needed to serve new use-cases, and to ensure operations are planned
- Write fantastic code along with the proper unit, functional, and integration tests for code and services to ensure quality. Mentor more junior engineers in these skills
- Stay up to date with developments in the open-source community around data engineering, data science, and similar tooling.
- Spot opportunities to test out new tooling for internal use cases, as well as opportunities to contribute back to the community.
The DSDE team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.
We are looking for professionals with these required skills to achieve our goals:
- Master’s in Computer Science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering
- 5+ years experience (or PhD plus 3 years job experience)
- Experience with common distributed data tools in a production setting (Spark, Kafka, etc)
- Experience with specialized data architecture (e.g. optimizing physical layout for access patterns)
- Experience with search/indexing systems (e.g. Elasticsearch)
- Experience with schema tools and schema management (Avro, Protobuf)
- Practical experience with Agile software development and DevOps forward ways of working
- Demonstrated experience writing production Python, Scala, Go, and/or C++
- Demonstrated experience building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem)
If you have the following characteristics, it would be a plus:
- Experience building and designing a DevOps first way of working
Our values and expectations are at the heart of everything we do and form an important part of our culture.
These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
- Operating at pace and agile decision making – using evidence and applying judgement to balance pace, rigour, and risk.
- Committed to delivering high-quality results, overcoming challenges, focusing on what matters, execution.
- Continuously looking for opportunities to learn, build skills and share learning.
- Sustaining energy and wellbeing
- Building strong relationships and collaboration, honest and open conversations.
- Budgeting and cost consciousness
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