Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure
Job Summary
Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
You will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence.
Matching Summary
Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Skills & Requirements
Must-have
AWS hands on with Databricks
data pipelines, step function
distributed computing architecture
Core Hadoop components
Expertise in SQL, advanced SQL skills
Nice-to-have
collaboration with data scientists
continuous improvement
advising and influencing decision making
embedding new policies/procedures
Barclays Values and Mindset
Key Requirements
in-depth technical knowledge and experience
Thorough understanding of underlying principles
experience with AWS services
Experience of distributed computing architecture
Experience of ETL implementation on Hadoop
Experience of Technical Design for ETL/Hadoop/AWS components