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.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Join us as a Sr. Data Engineer/Architect at Barclays, where you'll take part in the evolution of our digital landscape, driving innovation and 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
Build and maintain data pipelines
Design data warehouses and data lakes
Develop processing and analysis algorithms
Experience with AWS services (Glue, S3, Databricks, Snowflake)
Experience with Hadoop ecosystem
Data modeling and data quality enforcement
ETL and API experience
Nice-to-have
Collaborate with data scientists
Advise and influence decision making
Lead collaborative assignments
Creative problem solving
Communicate complex information effectively
Barclays Values and Mindset
Key Requirements
Degree or MBA level or equivalent experience
Experience with Databricks, Delta Lake, Medallion architecture
Knowledge of data governance tools and techniques
Understanding of PCI DSS and PA DSS tokenization and encryption