AddressPosted Date: Mar 19 2024
At GSK we understand that diversity is not only essential but also driving force behind innovation and success. We are dedicated to fostering a culture that embraces diversity and ensures equal opportunities for all.
GSK is going through a major transformation journey. The ambition is to become a data intelligent company. We are looking for an experienced cloud Data engineer lead that will help enable our strategy through the design of robust, reliable, performant and cost-effective cloud data solutions.
The ideal candidate will have:
Technical skills:
Deep Microsoft Azure product knowledge and understanding of product features, with exposure to other cloud solutions (Google, AWS) a plus.
Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level.
Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management.
Understands industry recognised data modelling patterns and standards
Understands overall IT system design, in particular networking, authorization and authentication protocols, data security, disaster recovery.
Knowledge of the latest technologies to process large amount of data (Apache Spark; Databricks is a plus)
Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.
Expertise in cloud security and identity best practices
A deep understanding of ETL and ELT tools and techniques
Strong experience in architecting ‘fit-for-purpose’ and ‘fit-for-use’ complex solutions on the Microsoft Azure cloud stack [IaaS, PaaS and SaaS]
Very strong hands-on experience in using Microsoft Azure services like Azure Data Factory, Data brick services (like processing streaming data using Spark clusters), usage of Blob containers, ESB, Event Grid, Azure SQL server, Cosmos DB, Azure functions, Analytics (like Power BI) is a mandatory requirement.
Excellent understanding of architecture patterns and best practices with proven innovative and leading-edge thinking to build cloud-ready systems (e.g., Domain Driven Architecture, multi-tenancy, building for resilience, scalability, performance, and federation, microservices etc.)
Hands-on work experience on application platforms like .Net, Python, Java etc. preferred
Understanding of big data platforms concepts and NoSQL technologies, and ability to map such
The candidate should have experience in modeling data for traditional structured data, as well as information design in Data Lake and NoSQL database engines.
Fluent with modelling, development and project execution processes around star, snowflake, 3NF, and Data Vault approaches.
Good experience in working with data using SQLs, Python and Scala in Microsoft based resources like Azure Synapse and Data Lake.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Personal skills:
A great team player, with the ability to perfectly integrate and play a pivotal role in a team that includes also data scientists, Data Engineers and data analysts
Able to appreciate short term vs. long term goals and take both tactical and strategic decisions
Great communication skills, ability to communicate complex technical concepts to a non-technical audience
Strong organizational skills, the ideal candidate has the ability to work in a fast-paced environment and has the ability to quickly adapt to changing priorities
Stays on top of the latest trends and develops expertise in emerging cloud technologies
Works well as a technical leader and individual contributor.
Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
Guide the development of an Agile data development experience, when required using DW automation tools.
Assist the project team in planning and execution to achieve daily and sprint goals.
Articulate documentation of project artefacts and deliverables.
Identifies and communicates risks clearly to the Product owner and the team.
Education of customer on how the technology recommendation/solution planned will fulfil the customer expressed needs
Eligibility Criteria:
Years of Experience: Minimum 5 - 10 years
Job Experience: Experience in Microsoft modern data platform, hands-on experience on Azure Data Engineering, Applications, Advance Analytics
Educational: Engineering, MCA, M. Tech / Ph.D. from leading institutes.
Primary skill : Azure Data Lake Gen1/Gen2, Azure Data factory v2, Azure Data bricks, Azure DWH, Azure Synapse, Key vault, Azure Active directory
Programing Language: Scala, SQL , Python
Why Us?
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 positively impact the health of 2.5 billion people by the end of 2030.
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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.
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