Minimum Experience :
At least 3 years of experience working on data-driven and data-informed application development, preferably covering structured / ERP data
At least 1 year of hands-on development experience in cloud technologies (Azure, AWS, Google Cloud)
Job Purpose :
Recognised as the go-to data engineering SME, to work collaboratively and adapt to constantly meet the needs of their customers and deliver value to GSK
Identifies appropriate cloud service offerings based on use cases
Configures and uses cloud components (e.g. on Azure), including data storage, transformation / modelling, database / warehousing and reporting tools
Builds flexible and streamlined data environments and automated pipelines for data provisioning from multiple source systems including SAP
Develop sustainable data-driven and analytic solutions as part of an agile team, collaborate with a diverse group of individuals with a common goal
Creates reusable enterprise data sets
Fulfils day-to-day data needs of data scientists and other data users across the organisation
Ensure compliance with GSK Procedures and Policies and assist with audit and validation requirements
To ensure the group’s compliance with GSK policies and procedures and that all aspects of the group’s conduct are aligned with GSK’s integrity principles
Provide reliable and effective support to the Director of Operations where necessary to deal with escalations from the Operational support team for A&BI solutions
Exhibits mastery over multiple domains - model and build of ETL, near real-time, data streaming solutions
Has an intrinsic knowledge of standards and coding languages
Provides technical guidance to team members
Able to work with frameworks of a significant complexity
Key Responsibilities :
Translate business requirements into conceptual, logical, and physical data models
Build sustainable data driven solutions with new data technologies to meet the needs of our organisation and business customers
Help to streamline an appropriate quality data supply chain for analytics that goes from experimentation into production.
Look to leverage reusable code modules to solve problems across the team and organisation
Look to leverage and establish data standards across the team and organisation
Understand complex multi-tier, multi-platform, data distribution systems
Help data scientists to prepare data and assist with initial data exploration steps
Catalogue existing data sources
Enable access to resident and external data sources
To work closely with BI & Analytic Product Experts, Visualisation Engineers, Data Scientists to develop, test and enhance database architectures;
to recommend and implement ways to improve data reliability, efficiency, and quality.
Demonstrate communication and influencing skills with key internal experts / stakeholders and strategic partners.
Relevant Skills or Licenses :
Hands-on development experience on Microsoft Azure cloud services ie. Databricks, Data Factory.
The ability to build reusable data pipelines using big data technologies (Spark, Databricks, or similar)
Detailed knowledge of development as part of a Continuous Integration / Continuous Deployment (CI / CD) pipeline (e.g. using Jenkins)
Familiarity with data science tools and concepts (e.g. data lifecycles, data cleaning)
Expertise coding in data management, data warehousing
Some expertise with Data Modelling preferred
Familiarity with BI reporting solutions (e.g. PowerBI)
Some expertise with agile ways of working preferred
Our goal is to be one of the world’s most innovative, best performing and trusted healthcare companies. We believe that we all bring something unique to GSK and when we combine our knowledge, experiences and styles together, the impact is incredible.
Come join our adventure at GSK where you will be inspired to do your best work for our patients and consumers. A place where you can be you, feel good and keep growing.
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