Senior Data Quality Engineer(Manage Level)

Senior Data Quality Engineer

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 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.