QA Engineer - Only EST
Role - QA Engineer Location - Remote- Only EST 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. • 2 to 5 years of experience in data warehouse development/testing. • 2 to 5 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. • Great attention to detail with a result-driven test approach. • Self-starter; strong drive, bias-to-action, commitment with solid work ethics • Willingness to take on big challenges and own the results from brainstorming to execution. • Excellent written and verbal communication skills - Able to influence others effectively. • Willingness to provide off-hour support as needed or on a rotation basis. Youre a Great Fit If You Have: • Minimum 2 to 5 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 • ETL process knowledge; Knowledge of data warehouse testing procedures Desirable qualifications/pluses: • Knowledge of Insurance Data & its processes • Data validation experience between on-prem & cloud (i.e. hybrid) architecture. • Familiarity with cloud computing and the data ecosystem on Snowflake.