Implement data quality processes and procedures to ensure data reliability and trustworthiness, extracting actionable insights to improve operations and optimize resources
Job Summary
Implement data quality processes and procedures to ensure data reliability and trustworthiness, extracting actionable insights to improve operations and optimize resources.
Design and build data pipelines to automate data movement and processing, developing and applying advanced analytical techniques including machine learning and AI.
Support the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards, spearheading the evolution of the digital landscape.
Matching Summary
Implement data quality processes and procedures to ensure data reliability and trustworthiness, extracting actionable insights to improve operations and optimize resources.
Skills & Requirements
Must-have
ETL tool expertise (Informatica/AbInitio)
Develop and execute ETL test cases
Test Automation using Python, SQL, Unix
CI/CD pipeline integration (Jenkins, Gitlab)
Agile development/test methodology
Data privacy and compliance validation
Nice-to-have
Cloud technology (AWS, Kafka)
BDD/TDD experience
Business acumen
Strategic thinking
Digital and technology understanding
Key Requirements
Experience with ETL tools like Informatica or AbInitio
Experience with test automation scripts using Python, SQL, Unix, Shell Scripts
Experience with CI/CD tools like Jenkins, Gitlab, DevOps
Experience with JIRA for defect management
Understanding of agile development/test methodology