Job Purpose:

This role is responsible for working in data engineering teams to design and implement Data engineering and Advanced Analytics projects. He/ She will work collaborate with cross-functional teams to identify and prioritize data analytics projects that can drive business growth and efficiencies.

Responsibilities include: 

Technology Leadership:

• Work independently to and lead design, development and evolution of big-data ecosystem and data lake architectures to enable data processing, storage, and retrieval, including the integration of structured data sources from enterprise transactional systems and trusted third parties.

• Define and manage cloud infrastructure services through automation, CI/CD and best practices. 

• Troubleshoot data pipelines and cloud related issues.

Architecture Review

• Communicate with stakeholders to understand requirements and propose cost effective and performant architecture design.

• Present platform architecture, roadmap, plans, status, and risk to various stakeholders, including senior engineers.

• Champion DevOps best practices and ensure the data engineering teams follow all the recommended architecture guidelines while delivering data products.

Platform Engineering

• Champion scalable and cost-effective data and advanced analytics platforms, evangelize best practices for building cutting-edge data and analytics ecosystem.

• Work closely with senior engineers and various stakeholders to understand requirements, create roadmaps, keep track of key milestones, and take accountability for the delivery of new platforms developments.

Continuous improvement

• Develop and enable processes that allow for continuous improvement through structured feedback, error/variation detection, performance measurements, data security evaluations, and data quality measures. 

Project Execution & Management

• Demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly iterate through PoC in the discovery phase of the project to a enterprise scale production implementation of a GxP solution 

Team Management

• Work with vendors and technology partners to select and implement new data solutions and provide operational support for data solutions already deployed.

• Work with a team of data architects and data engineers that design, develop, and maintain data pipelines, data warehouses, and other data infrastructure.

Collaboration & communication

• Collaborate and work closely with executives, stakeholders and business teams to effectively communicate architecture strategy & clearly articulate the business value

Required Skills & Qualifications:

• BS or MS in engineering, sciences, or equivalent relevant experience required.

• 6+ years of experience in building and managing data and analytics applications is required.

• Demonstrated expertise on Azure, especially on data services like Databricks, ADF etc.

• Proficiency in Python programming and Data engineering stacks

• Suitable candidate be able to demonstrate strong experience in the following areas:

  • Data Engineering –

    • Proficient on modern Data engineering stack such as Data bricks, Delta Lake, Spark

    • Hands-on experience working with Azure Functions, logic apps,

    • Power BI, Power Apps, Azure Security controls.

    • Working knowledge of devops pipelines using tools like GIT and Azure DevOps Pipelines

    • Good understanding of working with structured as well as unstructured data

  • Project Management & Communication Skills:

    • Strong project management understanding with experience in executing projects using Agile delivery framework.

    • Sound knowledge of project management tools such as ADO, Jira, MS Projects.

    • Strong analytical, organizational, interpersonal, and time management skills 

    • Excellent communication (written and verbal) and interpersonal skills 

• Programming Skills:

  • Proficient in SQL and Python or Java programming languages.

  • Proficient in implementing tools and systems using Kubernetes.

  • Proficiency in deploying and debugging applications on Linux OS 

Preferred Qualifications:

In addition to above listed skills, ideal candidate may have one or more of below qualifications -

Solution Architecture:

• Designing solution architecture and present & defend the architecture in multiple architecture review forums.

• Technology Consulting experience in Cloud and Data Domain

• Strong problem solving and analytical skillset.

Certifications

• Azure Data Engineer, Developer, DevOps or equivalent certification preferred.

• Databricks/Data Engineering Certification preferred.

Compliance Knowledge:

• Experience in working with Cloud Security Controls and DevSecOps best practices.

Good To Have:

• Hands on experience on Spark, Synapse, Azure Data Factory, CI/CD, Automated Testing, Data Lakes, DWH, Big Data, Unity Catalog

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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