AWS Python Developer

As a Test Engineer, you will be responsible for designing and executing test plans for ETL processes to ensure data accuracy, completeness, and integrity. Your key responsibilities will include: - Developing automated test scripts using Python or R for data validation and reconciliation. - Performing source-to-target data verification, transformation logic testing, and regression testing. - Collaborating with data engineers and analysts to understand business requirements and data flows. - Identifying data anomalies and working with development teams to resolve issues. - Maintaining test documentation, including test cases, test results, and defect logs. - Participating in performance testing and optimization of data pipelines. To excel in this role, you should possess the following skills and qualifications: - Strong experience in ETL testing across various data sources and targets. - Proficiency in Python or R for scripting and automation. - Solid understanding of SQL and relational databases. - Familiarity with data warehousing concepts and tools (e.g., Power BI, QlikView, Informatica, Talend, SSIS). - Experience with test management tools (e.g., JIRA, TestRail). - Knowledge of data profiling, data quality frameworks, and validation techniques. - Excellent analytical and communication skills. This position offers you the opportunity to work on challenging projects and collaborate with a team of talented professionals in a dynamic environment. As a Test Engineer, you will be responsible for designing and executing test plans for ETL processes to ensure data accuracy, completeness, and integrity. Your key responsibilities will include: - Developing automated test scripts using Python or R for data validation and reconciliation. - Performing source-to-target data verification, transformation logic testing, and regression testing. - Collaborating with data engineers and analysts to understand business requirements and data flows. - Identifying data anomalies and working with development teams to resolve issues. - Maintaining test documentation, including test cases, test results, and defect logs. - Participating in performance testing and optimization of data pipelines. To excel in this role, you should possess the following skills and qualifications: - Strong experience in ETL testing across various data sources and targets. - Proficiency in Python or R for scripting and automation. - Solid understanding of SQL and relational databases. - Familiarity with data warehousing concepts and tools (e.g., Power BI, QlikView, Informatica, Talend, SSIS). - Experience with test management tools (e.g., JIRA, TestRail). - Knowledge of data profiling, data quality frameworks, and validation techniques. - Excellent analytical and communication skills. This position offers you the opportunity to work on challenging projects and collaborate with a team of talented professionals in a dynamic environment.