Data Quality Engineer

Reference Code: 6852

• Bachelor?s Degree in Computer Science or equivalent experience. 

• 5+ years of hands-on experience with large-scale Data Warehousing testing (preferably with a cloud-based warehouse e.g., Redshift or Snowflake). 

• 5+ years of strong experience with SQL and the ability to write efficient code for high-volume data testing/processing. 

• 3+ years of hands-on experience supporting high-performing ETL processes, including data quality and testing processes. 

• 3+ years of experience working with data testing and automation tools (QuerySurge, IceDQ, etc.). 

• 2+ years of hands-on experience with AWS Big Data technologies (Glue, Kinesis, EMR, AWS, etc.).

• 2+ years of programming experience with an advanced language like Python.

• Technical expertise in data models, database design development, data mining, and segmentation techniques.

• Experience in developing and maintaining test automation frameworks and understanding of test automation design patterns and software testing principles.

• Extensive knowledge of software and database testing including designing and manipulating test data, validating stored jobs, and error replication.

• Experience ensuring high data quality across multiple datasets used for analytical purposes.

• Experience in agile development methodologies. 

• Knowledge of statistical concepts and their application in reporting and data mart applications. 

• Good understanding of application development and can implement testing programs and review code and systems solutions.

• Excellent troubleshooting and problem-solving skills.

• Good communication (oral and written) and interpersonal skills. 

• Enthusiastic attention to detail. 

• Ability to acquire new skills quickly and thrive in a collaborative team environment.