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Entry LevelFull-timePython
Salary Range
$10,200 - $13,800 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an experienced QA Engineer to ensure the quality and reliability of our data platforms, reporting solutions, and analytics systems. This role focuses on testing large datasets, complex data pipelines, and BI/reporting tools.
Key Responsibilities
- →Validate data accuracy, completeness, and integrity across data warehouses, ETL processes, and reporting systems
- →Develop and execute test strategies for large-scale datasets and complex data loads/pipelines
- →Perform validation of SSRS/Tableau reports against source systems
- →Write complex SQL queries for data profiling, reconciliation, and validation
- →Review data transformations, mappings, and business logic
- →Identify data quality issues and work with engineering and BI teams to resolve them
- →Create and maintain detailed test plans, test cases, and documentation
- →Contribute to QA automation for data validation
- →Mentor junior QA engineers and champion data quality best practices
Requirements
- ✓5 to 7 years of experience in Data/BI/Analytics QA
- ✓Strong expertise in SQL (advanced querying & analysis)
- ✓Hands-on experience testing data warehouses, complex ETL pipelines, and large structured datasets
- ✓Experience validating SSRS and/or Tableau-based reports
- ✓Strong understanding of data models, joins, aggregations, and transformations
- ✓Proven ability to analyze and troubleshoot complex data issues
- ✓Excellent verbal and written communication skills
- ✓Experience working with cross-functional data and analytics teams
- ✓Experience with data QA automation frameworks
- ✓Exposure to big data platforms or cloud data solutions
- ✓Knowledge of Python or scripting for data validation
- ✓Experience in regulated / enterprise environments
