Build and maintain systems that collect, store, process, and analyse data, ensuring accuracy, accessibility, and security
Job Summary
Build and maintain systems that collect, store, process, and analyse data, ensuring accuracy, accessibility, and security.
Design and implement data architectures, pipelines, data warehouses, and data lakes to manage data volumes, velocity, and security measures.
Collaborate with data scientists to build and deploy machine learning models, and partner with other functions to deliver technology stacks and quality solutions.
Matching Summary
Build and maintain systems that collect, store, process, and analyse data, ensuring accuracy, accessibility, and security.
Skills & Requirements
Must-have
Abinitio ETL tool
Python and PySpark
AWS Data Analytics Stack
AWS data pipeline development
Advanced SQL and PL SQL
Data Warehousing concepts
Nice-to-have
Stakeholder engagement and requirement elicitation
Infrastructure understanding and solutioning
Cloud-based Enterprise Data Warehouse implementation
Snowflake and NoSQL environment experience
Risk and controls management
Business acumen and strategic thinking
Key Requirements
Hands-on experience in Abinitio ETL tool
Strong exposure in Python and PySpark
Hands-on experience in AWS Cloud applications
Strong hold on AWS Data Analytics Technology Stack
Experience in writing advanced SQL and PL SQL
Experience in AWS data pipeline development
Worked on at least two major project implementations