Principal Engineer – Data

Uniting science, technology, and talent to get ahead of disease together GSK is a global biopharma company with a special purpose – to unite science, technology, and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years.

We are on a mission to innovate and optimize GSK Supply Chain. Data and Artificial Intelligence is allowing us to integrate, simplify and unlock all our data to drive innovation, decision making and enable our transformation in servicing our patients, healthcare professionals and consumers.

Principal Engineer – Data & AI

We are seeking a hands-on Data & AI Engineer to join the Supply Chain Data & AI technology function. The Principal Engineer with work cross-functional technology teams to architect and deliver Data and AI outcomes using industry best practices and adhering to GSK’s IT management framework. As a Principal Engineer, you will play a critical role in designing, developing, maintaining data architecture, data models, data assets, data interfaces, data pipelines on Azure Cloud and on Aera Decision Intelligence Platform. Additionally, you will design AI ML data integration, pipelines and orchestration patterns that span across multiple technical systems.

Role responsibilities

Hands-on modeling, development, and delivery of data assets (interfaces, CI/CD transformation pipelines, data models) are expected as a matter of course.

Write efficient, performant, bug-free code using Python, PySpark, SQL to deliver new data assets or enhance existing assets.

Lead the design and implementation of ETL/ELT/ELTL processes to extract, transform, and load data to & from Azure cloud platform (Data Lake/Data Warehouse/Delta Lake/AAS) and on Aera Platform etc.

Implement data security and compliance measures to protect sensitive information and ensure regulatory requirements are met.

Define and establish data governance policies that maintain data quality, compliance, and metadata management in line with business processes and architecture & platform frameworks.

Debug and support production issues working with cross-functional teams and resolve issues to mitigate & minimize business impact.

Work in close collaboration with other team members and actively participate in Scrum/SAFe ceremonies to plan and deliver the work.

Take ownership of the development projects and help steer until completion.

Proactively identify areas of improvement in system architecture, design patterns and raise it with the team.

Support and guide junior members on technical and functional aspects as needed to deliver as per plans.

Up version ITMS documentation such as Architecture Decks, System Design Documentation, System Access Plan, System Test Cases and Results, CAPA, AAR documents.

Ensure all risks, blockers and issues associated with owned tasks are promptly recorded and managed in the appropriate Risk & Issue logs.

Expected to learn and delivery on new technology tools & platforms such Aera Technologies, C3.ai etc.

Required Experience & Qualifications

BE or MS degree in Computer Science, Information Technology, Data Science, or equivalent experience, with a preference on experience and proven track record. An ideal candidate would have a hands-on work history in an advanced, recognized, and innovative environment.

10+ year of experience in working in a product-oriented cross-functional squads in developing, owning, and extending Data and AI products.

7+ years of hands-on experience on Azure data analytics stack: Azure Databricks, Azure Data Factory, SQL DW, Cosmos DB, Power BI, PowerApps, AKS, etc.

Seasoned coder in the relevant languages: Python, SQL, PySpark etc.

Production experience of building and deploying CI/CD pipelines and code repo such as Github is needed.

Fully conversant with big-data processing approaches and "schema-on-read" methodologies. Preference for a deep understanding of Spark, Databricks, and Delta Lake and applying them to solve analytics, data science and machine learning business problems.

Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc.

Ability to work on complex projects and in a distributed environment with cross-functional stakeholders.

Strong working knowledge of Azure cloud services and components, and the ability to stitch together various components to build a scalable, reliable, and sustainable data analytics solution.

Key knowledge of architecture and deployment patterns across code and infrastructure development.

The ideal candidate possesses excellent communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels.

Nice to have

2+ years of pharmaceutical domain and/or Supply Chain technology experience in Planning, Inventory management solutions is strong plus.

Experience in Data Science, Machine Learning, and MLOps experience is a big plus.

Experience in NoSQL databases, Graph databases and technologies such as Neo4J, AnzoGraph etc.

Familiarity with Azure platform administration, security, and management concepts.

Optional experience in AI tools and Platforms such as Aera Technology Platform, C3.AI, DataRobot etc.

Optional experience with data visualization tools such as MS PowerBI, Tableau, ThoughtSpot etc.

Data Engineering/Software certifications such as Azure Data Engineer, Azure DS/AI Engineer, Databricks Lakehouse Data Engineer Associate/Professional etc.

As a company driven by our values of patient focus, Transparency, Respect, and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. 

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. 

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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