Vacancy expired!
Position: Data Quality Engineer Preferred Skills: Azure DataBricks, Data Quality, Azure Data Factory, ETL, PySpark Job responsibilities
- Work with business SMEs, data stewards and other data governance leaders to understand their data quality challenges and recommend solutions to implement overall data quality strategy.
- Partner with data stakeholders and implementation specialists during the data onboarding phase on various projects, providing analysis and sharing best practices
- Accountable for of data quality program activities; which includes evaluating large datasets for quality and accuracy; proactively identifying, addressing and resolving reconcilable discrepancies through daily data analysis
- Evaluate large datasets for quality and accuracy; proactively identifying, addressing and resolving reconcilable discrepancies through daily data analysis
- Define data quality framework, standards and implementation plan for enterprise data quality implementation.
- Design & implement ETL framework for data quality metadata to capture timely DQ KPIs and metrics and enable reporting team to create data quality reports/dashbaords.
- Help define/refine business data quality rules and implement them in data engineering projects
- Provide inputs on data guidelines, standards, and procedures.
- Define, operationalize and implement processes to continuously monitor and quality check data completeness and accuracy
- Define and implement data cataloging, data lineage and data security components for effective data governance.
- Work on other project related deliverables & tasks.
- Technical frameworks for data quality and other data governance tasks.
- Analysis & design documents for data quality/governance frameworks.
- Data profiling & data analysis artifacts.
- ETL code implementation for data quality and data governance tasks.
- Ongoing support for data quality & data governance projects
- Help build data quality/governance roadmaps.
- Other project related deliverables.
Vacancy expired!