QA Engineer, Data Warehousing
Job Title: ETL Tester
Location: Morristown NJ 07960 REMOTE but NOTE: Only Candidates living in the CST and EST time zones.
Onsite Requirements:
SQL
SSIS
Testing
Must come from a Property & Casualty Insurance or Banking background.
Job Description:
We are looking for innovative, talented, and self-motivated individuals interested in working with a cross-functional team focused on implementing and supporting our internal data warehouse.
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).
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.
Extensively use Task management and defect management tool (i.e. Jira and Confluence) to manage deliverable.
Well versed with the comprehensive QA testing methodology (i.e. functional, non-functional, system, regression, smoke test, performance testing, black box testing, etc.).
Contribute insights and recommendations to enhance data quality and processing efficiency.
You're a Great Fit If You Have
Minimum 3 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.
SSIS & MSSQL experience (intermediate or senior level).
Experience with Insurance Data Warehouse, data and its processes.
Experience with the Snowflake and DBT is a plus.
Experience in using QA automation tools.
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.
Requirements:
Bachelors or master's in computer science or equivalent.
Experience with Insurance Data Warehouse, data and its processes.
Strong understanding of Data Warehouse & Data Quality fundamentals.
3 to 5 years of experience in data warehouse development/testing.
3 to 5 years of experience with SQL Server and SSIS/SSAS/SSRS 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.Estimated Salary: $20 to $28 per hour based on qualifications.
Location: Morristown NJ 07960 REMOTE but NOTE: Only Candidates living in the CST and EST time zones.
Onsite Requirements:
SQL
SSIS
Testing
Must come from a Property & Casualty Insurance or Banking background.
Job Description:
We are looking for innovative, talented, and self-motivated individuals interested in working with a cross-functional team focused on implementing and supporting our internal data warehouse.
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).
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.
Extensively use Task management and defect management tool (i.e. Jira and Confluence) to manage deliverable.
Well versed with the comprehensive QA testing methodology (i.e. functional, non-functional, system, regression, smoke test, performance testing, black box testing, etc.).
Contribute insights and recommendations to enhance data quality and processing efficiency.
You're a Great Fit If You Have
Minimum 3 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.
SSIS & MSSQL experience (intermediate or senior level).
Experience with Insurance Data Warehouse, data and its processes.
Experience with the Snowflake and DBT is a plus.
Experience in using QA automation tools.
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.
Requirements:
Bachelors or master's in computer science or equivalent.
Experience with Insurance Data Warehouse, data and its processes.
Strong understanding of Data Warehouse & Data Quality fundamentals.
3 to 5 years of experience in data warehouse development/testing.
3 to 5 years of experience with SQL Server and SSIS/SSAS/SSRS 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.Estimated Salary: $20 to $28 per hour based on qualifications.
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