ETL Data with QA Tester
Job Title - QA Engineer
Job Location - Remote position (India)
Key Objectives Hands on experience with EDW source to target testing (SQL scripting - manual and automation) Data transformation/manipulation testing (SQL scripting - manual and automation) Data quality/completeness validation (SQL scripting -manual and automation) Working knowledge and testing experience of ETL Experience in running the processes through the scheduler Quality Assurance, Process Improvement and Collaboration Develop and execute comprehensive test plans to validate data within on prem and cloud data warehouses.Conduct thorough testing of ETL processes, dimensional data models, and reporting
outputs.Identify, document, and track data quality issues, working closely with data engineers to resolve them.Validate data loading, transformation, and aggregation processes. Ensure data consistency and integrity across different data sources and systems. Collaborate with the Data Quality and Data Engineering team to define quality benchmarks and metrics.Continuously improve QA testing strategies and methodologies.Implement best practices for data validation and error handling.Assist in the design and implementation of data quality assurance tools and frameworks.Work closely with BA, data architect, data engineers, QA and stakeholders to understand data requirements and deliverables.Work closely with the Lead Data QA Engineer to design, develop, maintain and support testing infrastructure Provide detailed reports on data quality findings and testing outcomes.Contribute insights and recommendations to enhance data quality and processing efficiency.Requirements Bachelors or Masters in Computer Science or equivalent. Strong understanding of Data Warehouse & Data Quality fundamentals. 5 to 9 years of experience in data warehouse development/testing.5 to 9 years of experience with Relational Database and ETL testing Must be experienced in Data Warehousing Projects with good knowledge of ETL testing.Strong in SQL, RDBMS, ETL, and DW concepts.Experience in validating Reports/Dashboards on tools like Tableau, MS Power BI, etc.
Minimum 5 to 9 years of Quality Assurance experience (manual/automated testing) with a
proven track record of improving Data Quality by implementing QA best practices within
organization
Experience with the SSIS & MSSQL is a plus
Experience with the Snowflake and DBT is a plus
Experience in using QA automation tools is a plus
Job Title - QA Engineer
Job Location - Remote position (India)
Key Objectives Hands on experience with EDW source to target testing (SQL scripting - manual and automation) Data transformation/manipulation testing (SQL scripting - manual and automation) Data quality/completeness validation (SQL scripting -manual and automation) Working knowledge and testing experience of ETL Experience in running the processes through the scheduler Quality Assurance, Process Improvement and Collaboration Develop and execute comprehensive test plans to validate data within on prem and cloud data warehouses.Conduct thorough testing of ETL processes, dimensional data models, and reporting
outputs.Identify, document, and track data quality issues, working closely with data engineers to resolve them.Validate data loading, transformation, and aggregation processes. Ensure data consistency and integrity across different data sources and systems. Collaborate with the Data Quality and Data Engineering team to define quality benchmarks and metrics.Continuously improve QA testing strategies and methodologies.Implement best practices for data validation and error handling.Assist in the design and implementation of data quality assurance tools and frameworks.Work closely with BA, data architect, data engineers, QA and stakeholders to understand data requirements and deliverables.Work closely with the Lead Data QA Engineer to design, develop, maintain and support testing infrastructure Provide detailed reports on data quality findings and testing outcomes.Contribute insights and recommendations to enhance data quality and processing efficiency.Requirements Bachelors or Masters in Computer Science or equivalent. Strong understanding of Data Warehouse & Data Quality fundamentals. 5 to 9 years of experience in data warehouse development/testing.5 to 9 years of experience with Relational Database and ETL testing Must be experienced in Data Warehousing Projects with good knowledge of ETL testing.Strong in SQL, RDBMS, ETL, and DW concepts.Experience in validating Reports/Dashboards on tools like Tableau, MS Power BI, etc.
Minimum 5 to 9 years of Quality Assurance experience (manual/automated testing) with a
proven track record of improving Data Quality by implementing QA best practices within
organization
Experience with the SSIS & MSSQL is a plus
Experience with the Snowflake and DBT is a plus
Experience in using QA automation tools is a plus