What are the responsibilities and job description for the Technical Data Quality Engineer position at Largeton Group?
Job Summary: Technical Data Quality Engineer
- Support the Data Quality lifecycle from inception to implementation across various distribution channels.
- Establish and maintain data quality rules and standards to ensure data accuracy, consistency, and reliability.
- Monitor data health and proactively resolve data quality issues using technical and analytical tools.
- Conduct data profiling, cleansing, and reporting on data quality metrics.
- Collaborate with data engineers, Data Governance team, and business stakeholders to improve data governance and data integrity.
- Utilize SQL, programming languages (e.g., Python, JavaScript), and data visualization tools (e.g., Power BI) for data analysis and reporting.
- Integrate data quality rules and results into data catalog and lineage tools.
- Apply statistical analysis and data quality methodologies to support informed business decision-making.
- Adhere to software engineering best practices, including agile methodologies, coding standards, code reviews, source management, build processes, and testing.
- Build and manage automated workflows and participate in sprint planning and deliverables with Product Managers and Scrum Masters.
- Preferred experience in Informatica Cloud Data Quality, release management tools (e.g., BitBucket), AWS, and background in banking or financial services.