We are looking for 4–7 years of strong experience in ETL and data testing to ensure the quality and integrity of large-scale healthcare data platforms.
You will work on high-volume data pipelines built using PySpark Databricks and Oracle validating business rules and ensuring accurate data processing across millions of records. You will collaborate closely with Architects and Development teams in an Agile/DevOps environment.
Key Responsibilities
- Design and execute test strategies for ETL and data pipelines
- Develop and maintain automated tests using Python
- Perform data validation reconciliation and business rule testing
- Support and guide junior QA engineers
- Create test plans test cases and manage defects using JIRA
- Collaborate with global teams including Europe-based stakeholders
Skills & Qualifications
- 4–7 years of experience in software testing preferably in data/ETL projects
- Strong SQL (advanced) and Python (intermediate) skills
- Experience with Databricks Spark Oracle Hive or Impala
- Knowledge of dimensional modeling SCD and star schema
- Experience with Git CI/CD tools (Jenkins/GitLab CI)
- Basic understanding of Docker and containerized environments
- Familiarity with Agile/Scrum methodologies
- Strong communication analytical and collaboration skills
We are looking for 4–7 years of strong experience in ETL and data testing to ensure the quality and integrity of large-scale healthcare data platforms.You will work on high-volume data pipelines built using PySpark Databricks and Oracle validating business rules and ensuring accurate data processin...
We are looking for 4–7 years of strong experience in ETL and data testing to ensure the quality and integrity of large-scale healthcare data platforms.
You will work on high-volume data pipelines built using PySpark Databricks and Oracle validating business rules and ensuring accurate data processing across millions of records. You will collaborate closely with Architects and Development teams in an Agile/DevOps environment.
Key Responsibilities
- Design and execute test strategies for ETL and data pipelines
- Develop and maintain automated tests using Python
- Perform data validation reconciliation and business rule testing
- Support and guide junior QA engineers
- Create test plans test cases and manage defects using JIRA
- Collaborate with global teams including Europe-based stakeholders
Skills & Qualifications
- 4–7 years of experience in software testing preferably in data/ETL projects
- Strong SQL (advanced) and Python (intermediate) skills
- Experience with Databricks Spark Oracle Hive or Impala
- Knowledge of dimensional modeling SCD and star schema
- Experience with Git CI/CD tools (Jenkins/GitLab CI)
- Basic understanding of Docker and containerized environments
- Familiarity with Agile/Scrum methodologies
- Strong communication analytical and collaboration skills
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