Overview
Job Description
Key Accountabilities
Digital
Posting Date
26 Mar 2025; 00:03
Key Accountabilities
- Working with colleagues to understand and implement requirements
- Securing the data supply chain, understanding how data is ingested from different sources and combined / transformed into a single data set.
- Understanding how to analyse, cleanse, join and transform data.
- Implementing designed / specified solutions into the chosen platform
- Working with colleagues to ensure that the on-prem/cloud infrastructure available is capable of meeting the solution requirements.
- Planning, designing and conducting tests of the implementations, correcting errors and retesting to achieve an acceptable result.
- Appreciate how to manage the data including; security, archiving, structure and storage.
- Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience
- 6+ years of experience at various levels of Data Engineering roles including 3 years in technical lead role managing end to end solution.
- Experience in designing solutions using databases and data storage technology using RDBMS (MS SQL Server)
- Experience building and optimizing Big Data data pipelines, architectures and data sets using MS Azure data management and processing components through IaaS/PaaS/SaaS implementation models implemented through custom
- Proficiency in Python scripting. Experienced in using different python modules used for data munging
- Be up to date with data processing technology / platforms such as Spark (Databricks)
- Experience in Data Modelling for optimizing the solution performance
- Experienced in Azure DevOps
- Experience with ETL and/or data integration tool MuleSoft
- Good understanding of infrastructure components and their fit in different types of data solutions
- Experience of designing solutions deployed on Microsoft and Linux operating systems
- Experience of working in an agile environment, within a self-organising team.
Digital
Posting Date
26 Mar 2025; 00:03
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