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Data Analytics Quality Assurance Engineer with Python Expertise
2 tygodni temu
Company Overview
We are a dynamic and growing tech company based in the UK, valuing people and diversity. Our mission is to develop innovative solutions for modern cloud-based advertising platforms.
Job Description
We are seeking an experienced Senior Data Analytics QA with Automation in Python to join our team. As a key player, you will be responsible for testing data warehouses, data lakes, and data marts, ensuring the quality of data engineering processes and driving automation initiatives.
Key Responsibilities
- Validate data integrity in Data Warehouses, Data Lakes, and Data Marts
- Ensure accuracy and reliability of ETL/ELT processes
- Develop and maintain automated test scripts using Python, Jupyter, and pandas
- Create and manage SQL queries for testing data integrity (aggregations, joins, unions, CTEs, window functions)
- Collaborate with the team to implement test automation for reports and API testing
- Support the use of data visualization tools (ThoughtSpot)
- Engage with BDD approach and tools like Cucumber for automated testing
- Analyze code in Jinja templates, YAML, and dbt for testing purposes
- Collaborate within a cloud environment (AWS: S3, Athena, QuickSight)
Requirements
Must-Have
- Experience in testing data warehouses, Data Lakes, and Data Marts
- Strong knowledge of Data Engineering processes and the differences between ETL and ELT
- Strong proficiency in SQL (aggregations, joins, unions, CTEs, window functions)
- Proficiency in Python and tools such as Jupyter and pandas
Should-Have
- Familiarity with data visualization tools (ThoughtSpot ideally)
- Experience with BDD approach and working with Cucumber
- Experience in report test automation
Could-Have
- Familiarity with AWS environment (S3, Athena, QuickSight)
- Experience with API testing
- Knowledge of Jinja templates, YAML, and dbt (at least for reading code)
A skilled Data Analytics QA professional with expertise in Python automation and testing, we welcome your application to join our innovative team that values collaboration and innovation.