Data Quality Engineer

Role & responsibilities

• Need strong

  SQL and Python

  experience.
• Be an expert in writing and executing test cases, managing and analyzing large sets of data, creating automation scripts and communicating relevant insights to the team
• Love to collaborate with other data professionals, engineers, and business operation experts to understand and address reporting needs
• Experience with both traditional and big data streaming
• Create and maintain complex SQL queries such as; type 2 triggers, various joins, aggregations, groupings and more
• Execute ETL jobs using orchestration tools (airflow/scheduler/SQL agent)
• Have a working knowledge and testing experience of ETL
• Be proactive with leadership abilities with a strong "can do attitude
• Possesses heavy experience with automation testing for ETL
• Highly detailed oriented
• Strong willingness & comfort taking on and challenging development approaches
• Conduct and facilitate UAT
• Previously worked in agile and scrum

What You Will Need:

• Solid understanding of test Automation architecture, framework, and Automation script creation using programming language Python, Bash Scripts etc. and Orchestration tools like Apache Airflow, Luigi
• Strong knowledge of creating SQL queries for source to target database validation and Data warehouse testing
• Hands-on experience interpreting and understanding data models and ER diagrams
• Experienced in traditional SQL DB (mysql, postgres, sql server) and cloud native data warehouses Snowflake or Redshift
• Experienced in ETL tools Informatica, ab initio, Talend, and reporting tools - Tableau and PowerBI
• Create and execute strategies and test cases for applications that use ETL components
• CI/CD implementation through Jenkins/GitLab/Maven
• Experienced with Client ALM, Jira, rally any agile test management tools
• Implement the orchestration of business flows on given problem statements for the automation of complex scenarios
• Review technical requirements with data warehouse and business intelligence terminology to produce test strategies, test scenarios, and test cases for the data warehouse team
• Create the test plan for the software release, defining resources, and test suites required for each test cycle, dependencies, risks, and the overall strategy for testing complex systems and applications
• Experienced in using frontend (UI) to generate test scenarios and validate data in the backend
• Write Python test using unit test framework
• Experience with Kafka messaging is desired
• Rest APIs
• Docker and Kubernetes experience is a nice to have
• Sports Betting and Gambling domain knowledge is a plus