Principal Data Engineer

Job description

Nombre del sítio: Bengaluru Luxor North Tower
Fecha de publicación: Feb 16 2024

Ready to help shape the future of healthcare? 

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.  

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. 

GSK is one of the world’s foremost pharmaceutical and healthcare companies and we are proud to be leading a healthcare revolution.

By disrupting our approaches to R&D and commercial business processes, Data and Analytics are allowing us to integrate, simplify and unlock all of our data to drive innovation, decision making and enable our transformation in servicing our patients, healthcare professionals and consumers.

Key responsibilities

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:

Development

·  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.
·  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.
·  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.

Key Technical skills and experience required.

·  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, etc.
·  7-10 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.
·  3+ years of experience developing Insightful Reports and Dashboard using prominent BI tools like Power BI, Tableau , IBM Cognos
·  Experience  with delivering Transformed & Curated Data to Data Science & ML Teams and deploying ML Ops pipeline
·  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.

At GSK we value diversity (Gender, LGBTQ +, PwD etc.) and treat all candidates equally. We aim to create an inclusive workplace where all employees feel engaged, supportive of one another, and know their work makes an important contribution. 

*LI-GSK 

#GSKcso

Nuestro objetivo es ser una de las empresas de atención médica más innovadoras, de mejor desempeño y más confiables del mundo. Creemos que todos aportamos algo único a GSK y cuando combinamos nuestros conocimientos, experiencias y estilos, el impacto es increíble. Únase a nuestra aventura en GSK donde se inspirará para hacer el mejor trabajo para nuestros pacientes y clientes. Un lugar donde puede ser usted mismo, sentirse bien y seguir creciendo.

  

Aviso importante a las empresas o agencias de empleo

GSK no acepta recomendaciones de empresas de empleo o agencias de empleo con respecto a las vacantes publicadas en este sitio. Todas las empresas o agencias de empleo están obligadas a ponerse en contacto con el Departamento de Contrataciones Comerciales y Generales o el Departamento de Recursos Humanos de GSK para obtener autorización previa por escrito antes de recomendar a cualquier candidato a GSK. La obtención de autorización previa por escrito es una condición precedente a cualquier acuerdo (verbal o escrito) entre la empresa o agencia de empleo y GSK. En ausencia de dicha autorización por escrito, se considerará que las acciones que emprenda la empresa o agencia de empleo se han realizado sin el consentimiento o el acuerdo contractual de GSK. Por lo tanto, GSK no será responsable de ninguna tarifa derivada de tales acciones o cualquier tarifa que surja de cualquier recomendación por parte de las empresas o agencias de empleo con respecto a las vacantes publicadas en este sitio.