Senior Data Engineer

Job description

Nombre del sítio: Home Worker - POL
Fecha de publicación: Nov 15 2023

Come join us as we supercharge GSK’s data capability!

At GSK we are building a best-in-class data and prediction powered team that is ambitious for patients.

As R&D enters a new era of data driven science, we are building a data engineering capability to ensure we have high quality data captured with context and aligned data models, so that the data is useable and reusable for a variety of use cases. 
The R&D Digital and Tech remit has expanded over the past 2 years, and to position GSK for the future, The change will strengthen R&D Tech, to provide more strategic impact, focus, accountability, and improved decision making in the use of Digital, Data and Analytics (DDA) to strengthen the pipeline.
 

The Senior Data Engineer should demonstrate core engineering knowledge/experience of industry technologies, practices, and frameworks such as Data Mesh and scaling data platforms, containerization, cloud-based platforms, data analytics, and data streaming. 

Key Responsibilities:

· 
Using Azure cloud services and GSK data platform tools to ingest, egress, and transform data from multiple sources.

· 
Produces well-engineered software, including appropriate automated test suites, technical documentation, and operational strategy

· 
Provides input into the roadmaps of upstream teams (e.g., Data Platforms, DataOps, DevOps) to help improve the overall program of work 

· 
Fully versed in coding best practices and ways of working, and participates in code reviews and partnering to improve the team’s standards 

· 
Adhere to QMS framework, Security & Regulatory Standards, and CI/CD best practices and helps to guide improvements to them that improve ways of working 

· 
Supporting engineering teams in the adoption and creation of data Mesh best practices.

· 
Maintains best practices for engineering and architecture on our Confluence site. 

· 
Pro-actively engages in experimentation and innovation to drive relentless improvement 

Why you?

Basic Qualifications:

· 
Proficient with at least 3 of the below skills and can demonstrate knowledge and value with relevant experience in all the following competencies:

· 
Data Engineering development, architecture design & technology platforms/frameworks

· 
Hands-on experience with Azure Data Analytics services e.g. ADLS, Azure Data Factory, Azure Databricks, Purview, Azure Synapse, etc.

· 
Data Platforms and Domain-driven design

· 
Agile, DevOps & Automation [of testing, build, deployment, CI/CD, etc.]

· 
Data analytics & data quality/integrity

· 
Testing strategies & frameworks   

· 
Familiarity with 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 Python/PySpark, REST APIs, SQL

Preferred Qualifications:

· 
Track record of applying best data and software engineering practices in Pharma CMC and Scientific domains.

· 
Known for excellent, rigorous software engineering with full stack role including DevOps on a development team

· 
Experience in applying data curation, virtualization, workflow, and advanced visualization techniques to enable decision support across multiple products and assets to drive results across R&D business operations.

· 
Experience in building products with modern Cloud architectures, platforms, and back-end systems

Benefits:

· 
Career at one of the leading global healthcare companies

· 
Contract of employment 

· 
Attractive reward package (annual bonus & awards for outstanding performance, recognition awards for additional achievements and engagement, holiday benefit)

· 
Life insurance and pension plan 

· 
Private medical package with additional preventive healthcare services for employees and their eligible 

· 
Sports cards (Multisport) 

· 
Possibilities of development within the role and company’s structure 

· 
Personalized learning approach (mentoring, online training’ platforms: Pluralsight, Business Skills, Harvard Manage Mentor, Skillsoft and external training) 

· 
Extensive support of work life balance (flexible working solutions, short Friday’s option, health & well-being activities) 

· 
Supportive community and integration events 

· 
Modern office with creative rooms, fresh fruits everyday 

· 
Free car and bike parking, locker rooms and showers

#SCD

G7

Si necesita una adaptación u otra asistencia para solicitar un trabajo en GSK, comuníquese con el Centro de Servicios de RR. HH. de GSK al 1-877-694-7547 (gratis en los EE. UU.) o al +1 801 567 5155 (fuera de los EE. UU.).

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