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 implement scalable and efficient data transformation/storage solutions using Snowflake and harness cutting-edge technology to revolutionise our digital offerings.
You will be responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards.
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
PySpark
AWS Data Analytics Stack
Snowflake
Data ingestion to Snowflake
DBT with Snowflake
Advanced SQL and PL SQL
Nice-to-have
Data governance or lineage tools
Orchestration tools like Airflow
Abinitio ETL tool
Stakeholder engagement and requirements elicitation
Infrastructure setup understanding
Data Marts and Data Warehousing concepts
Key Requirements
Hands on experience in pyspark
Hands on Experience in AWS Cloud
Experience with Snowflake
Experience with DBT
Experience writing advanced SQL
Worked on at least two major project implementations