QE Engineer - ETL with Python and Azure

Experience: 4+ years of experience in automation testing with a focus on ETL, data warehousing, or big data environments.
Technical Skills: Strong proficiency in SQL for complex queries and database testing. Hands-on experience with ETL tools (e.g., Informatica, Talend, etc.). Familiarity with DevOps practices and tools such as Jenkins, Git, Docker, etc.
Analytical Skills: Strong analytical and problem-solving skills, with attention to detail in identifying issues and ensuring data accuracy.
Communication: Excellent verbal and written communication skills to work effectively within a team and with stakeholders.
Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Relevant certifications are a plus.

ETL Testing: Strong experience in testing ETL pipelines and data workflows.
SQL: Advanced proficiency in writing complex SQL queries for data validation and reconciliation.
Python: Strong Python programming skills for writing automation scripts and integrating with ETL processes.
Azure: Experience with Azure Data Factory, Azure SQL, Azure Blob Storage, and other Azure data services.
Automation Tools: Familiarity with test automation tools and frameworks (e.g., Pytest, Selenium).
Data Warehousing: Experience working with data warehousing concepts and technologies.
Analytical Skills: Strong analytical and problem-solving skills with attention to detail.
Communication: Excellent communication skills, both written and verbal, to report issues and collaborate with cross-functional teams.
Desired Skills Qualifications:
Experience with data modeling, data governance, and data quality frameworks.
Familiarity with other cloud platforms (AWS, GCP) is a plus.
Knowledge of Agile development methodologies and CI/CD pipelines.
Experience with version control tools such as Git.