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.
Develop processing and analysis algorithms, collaborate with data scientists to build and deploy machine learning models, and support applications on AWS Cloud.
Support cloud-based enterprise data warehouses with multiple data platforms, including Snowflake and NoSQL environments, to support data movement strategy.
Matching Summary
Build and maintain systems that collect, store, process, and analyse data, ensuring accuracy, accessibility, and security.
Skills & Requirements
Must-have
L2/L3 Application Support Experience
UNIX environment experience
Python and PySpark hands-on experience
AWS Data Analytics Technology Stack
Snowflake data transformation/storage
DBT with Snowflake for ELT
Advanced SQL writing
Nice-to-have
ITIL Environment experience
Out-of-the-box problem solving
Data governance or lineage tools
Orchestration tools like Airflow
Stakeholder engagement and requirements elicitation
Data Marts and Data Warehousing concepts
Key Requirements
Practical experience working within a support function
Experience with databases such as Oracle, Teradata, Mongo DB
Proficiency in monitoring and observability tools
Hands-on experience in supporting and maintaining applications on AWS Cloud