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.
Collaborate with data scientists to build and deploy machine learning models.
Contribute or set strategy, drive requirements and make recommendations for change.
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 data platform
data ingestion programs
Python and Py-Spark
DevOps Pipelines
data modelling and architecture
Agile Methodology
Nice-to-have
financial services industry experience
Broadridge BPS, IMPACT & Gloss products
machine learning model creation
Key Requirements
Hands on experience with large scale data platforms
Development of cloud solutions in AWS
Experience with Glue, Lambda, S3, Redshift, Snowflake, Databricks