Negotiable
Outside
Remote
USA
Summary: The role of SIT Tester requires a highly skilled professional with expertise in ETL Testing, PL/SQL, Databricks, and PySpark. The candidate will validate complex data pipelines in on-prem environments and have experience with cloud migration projects. Attention to detail is crucial to ensure data integrity, accuracy, and performance across enterprise data solutions.
Key Responsibilities:
- Validate complex data pipelines in on-prem environments.
- Ensure data integrity, accuracy, and performance across enterprise data solutions.
- Participate in cloud migration projects.
- Utilize ETL Testing, PL/SQL, Databricks, and PySpark in testing processes.
- Collaborate with teams to address data quality and integration issues.
Key Skills:
- 8+ years of ETL/Data Warehouse Testing.
- 5+ years of PL/SQL expertise in queries, validation, and test automation.
- 5+ years of hands-on experience with Databricks and PySpark.
- Strong knowledge of data integration, lineage, and data quality principles.
- Experience in on-prem platforms (Oracle, SQL Server, Hadoop-based).
- Exposure to cloud data platforms (Azure, AWS, Google Cloud Platform) and migration projects.
- Strong problem-solving, communication, and analytical skills.
- Experience with test automation tools (preferred).
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
We are seeking a highly skilled SIT Tester with strong expertise in ETL Testing, PL/SQL, Databricks, and PySpark. The ideal candidate will have extensive experience in validating complex data pipelines in on-prem environments, along with exposure to cloud migration projects. This role requires a detail-oriented professional who ensures data integrity, accuracy, and performance across enterprise data solutions.
Required Skills & Experience
- 8+ years of ETL/Data Warehouse Testing.
- 5+ years of PL/SQL expertise in queries, validation, and test automation.
- 5+ years of hands-on experience with Databricks and PySpark.
- Strong knowledge of data integration, lineage, and data quality principles.
- Experience in on-prem platforms (Oracle, SQL Server, Hadoop-based).
- Exposure to cloud data platforms (Azure, AWS, Google Cloud Platform) and migration projects.
- Strong problem-solving, communication, and analytical skills.
- Experience with test automation tools (preferred).
Preferred Qualifications
- Knowledge of CI/CD pipelines and automated testing frameworks.
- Familiarity with cloud-native ETL tools (Azure Data Factory, AWS Glue, Google Cloud Platform Dataflow).
- ISTQB or equivalent certifications.