Data Engineer
Bengaluru, India
6d ago

Data Engineer

Full-Time, Bangalore, Karnataka, India

GSK is one of the world’s foremost pharmaceutical and healthcare companies, and we are proud to be part of an industry that improves the lives of others.

We are embarking on a significant transformation journey that will support GSK in becoming a top-quartile data-enabled organisation.

GSK is undergoing a strategic Tech Transformation which is underpinned by Five Tech Pillars, Robust Core, Future Proof Technology, Agile ways of working, Skills transformation and Strategic Partnering.

These five pillars will enable GSK Core Tech and GSK to accomplish the IPT objectives as they are a cornerstone to GSK’s Science, Technology + Culture Strategy.

This role exists to support and strengthen our Robust Core strategic intent the desire to ensure that our critical IT platforms are as reliable as possible, delivering maximum uptime.

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following.

You will create microservices, integrate components, design frameworks, and build reusable data solutions for GSK’s Enterprise Data & Analytics Platform.

You will enable the faster acquisition, ingestion, and curation of analytical-ready datasets. You will be introducing new technology and building the GxP-ready platform aimed at delivering value to business stakeholders.

While a hands-on development role which includes developing & delivering code from origin to production, you will also lead a team of data engineers and 3rd party service providers.

Role responsibilities and requirements :


  • Hands-on, sleeves-up design, modeling, development, and delivery are expected as a matter of course.
  • Strong working knowledge of Azure services and components, and the ability to stitch together various components towards a scalable, reliable and sustainable enterprise solution.
  • Production experience delivering CI / CD pipelines across Azure and vendor products.
  • Key knowledge of architectural patterns across code and infrastructure development. Contribute towards the design and development of the enterprise standards.
  • Delivery

  • Ensure project goals are achieved with quality and on time in alignment with the stakeholders’ expectations.
  • Ability to work on complex projects and in a distributed environment.
  • Escalate when necessary and promptly
  • Work in close collaboration with other team members in the Enterprise Data & Analytics Platform team to ensure Development / Delivery aspects are well represented in the project’s requirements and deliverables.
  • Methodology

  • Incorporate agile ways of working into the delivery process utilizing DABL (Discovery, Alpha, Beta, Launch)
  • Lead with modern data design and test driven development.
  • Individuals will work as part of a product-centric delivery team(s) that will deliver value independently while fully embracing integrated DevOps approaches.
  • Ownership

  • Take ownership of the delivery / development projects and help steer until completion.
  • Governance

  • Maintain governance that allows projects and stakeholders to manage overall project performance and manage program risks within the global nature of some of the programs.
  • Forward looking :

  • Remain flexible towards technology approaches to ensure we are taking advantage of new technologies.
  • Keep abreast of industry developments in analytics and interpret how these would impact services and present new opportunities.
  • Quality, Risk & Compliance :

  • Ensure all risks and issues associated with owned projects are promptly recorded and managed in the appropriate Risk & Issue logs.
  • Ensure all Risks and Issues have clear action / mitigation / contingency plans defined, named action owners, and timelines for completion.
  • Technical Architecture

    Be conversant with technical architecture to contribute to design discussions in partnership with the Delivery / Development Lead and dedicated Analytics & Data Architect.

    We are looking for a professional and if you have these skills, we would like to speak to you.

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

  • Data engineering experience and seasoned coder in the relevant languages : Python, SQL, Scala, Java etc.
  • 5+ years in Data Platform experience- specific to owning and enabling capabilities within an enterprise data ecosystem, including Data Management practices (Analytics / Platform)
  • 5+ years experience with the Azure data and analytics stack : Databricks, Data Factory, SQL DW,Cosmos DB, Power BI, Power Apps, AKS, etc.
  • 5+ years of experience integrating and supporting various enterprise data tools, Talend, Collibra, Synapse / Snowflake, etc.
  • Production experience delivering CI / CD pipelines across Azure and vendor products.
  • Key knowledge of architectural patterns across code and infrastructure development.
  • 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 data science and machine learning business problems.
  • Experience with Agile delivery frameworks and tools : SAFe, Jira, Confluence, Azure DevOps, etc.
  • Experience with visualization tools and their application : developing reports, dashboards, and KPI scorecards.
  • Familiar deploying enterprise analytics solutions at scale with applicable services : administration, qualification and user access provisioning.
  • Experience articulating the business value of analytics projects and progressing solutions from MVP to scaled-up production solutions.
  • Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.
  • and business stakeholders in the commercial organizations.

  • Ability to develop and maintain productive working relationships with suppliers and specialist technology providers to assemble and maintain a distinctive and flexible mix of capabilities against future requirements.
  • The ideal candidate possesses excellent communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels.
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