Engineer IT Quality Data
Tasks
- Analyze erroneous results and identify root causes
- Analyze test results and prioritize and log defects
- Build and troubleshoot validation scripts and resolve record run issues
- Collaborate with teams to ensure data integrity and validation
- Create data quality reports to track trends over time
- Develop validation scripts for automated execution
- Evaluate incoming data against company standards
- Execute reconciliation tests and report testing
- Improve test processes for efficiency and productivity
- Log defects in Jira and manage defect resolution
- Manage multiple projects with changing priorities
- Pre screen raw data for completeness and integrity
- Query and validate data using SQL
- Review data models data mappings and architectural documentation for system integration testing
- Verify data accuracy completeness and consistency using ETL tools
Perks/Benefits
Skills/Tech-stack
Azure Databricks | Complex joins | Data Mapping | Data Modeling | Data Quality | Data Warehouse | ETL | Integration Testing | Jira | Microsoft Azure | Performance optimization | Python | QTest | Query performance | Query performance optimization | SQL | Scala | Snowflake | Subqueries | System Integration | System Integration Testing | Test automation
Education
Regions
Countries
States
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