Manager Level Position.
Need more than 10+ years resume only.
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 in 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 HP ALM, Jira, rally any agile test management tools
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.