Job Description
About Position:
We are looking for a highly skilled Data Quality Engineer (Data QE) with strong experience in validating data pipelines, automation testing, and ensuring end‑to‑end data reliability across ETL/ELT processes. The ideal candidate will have hands-on experience in Python-based test automation, data ingestion testing, and exposure to cloud data platforms such as Databricks.
- Role: Data Quality Engineer
- Location: All Persistent Location
- Experience: 6+ Years
- Job Type: Full Time Employment
What You'll Do:
- Perform comprehensive Data Quality (DQ) validations on ETL/ELT pipelines, including transformation logic, schema validation, and data reconciliation.
- Execute data ingestion testing across multiple sources such as APIs, databases, files, and streaming systems.
- Validate data flows on Databricks-based ETL frameworks leveraging notebooks, jobs, and cluster executions.
- Design and develop automation test suites using Python and Pytest for...
We are looking for a highly skilled Data Quality Engineer (Data QE) with strong experience in validating data pipelines, automation testing, and ensuring end‑to‑end data reliability across ETL/ELT processes. The ideal candidate will have hands-on experience in Python-based test automation, data ingestion testing, and exposure to cloud data platforms such as Databricks.
- Role: Data Quality Engineer
- Location: All Persistent Location
- Experience: 6+ Years
- Job Type: Full Time Employment
What You'll Do:
- Perform comprehensive Data Quality (DQ) validations on ETL/ELT pipelines, including transformation logic, schema validation, and data reconciliation.
- Execute data ingestion testing across multiple sources such as APIs, databases, files, and streaming systems.
- Validate data flows on Databricks-based ETL frameworks leveraging notebooks, jobs, and cluster executions.
- Design and develop automation test suites using Python and Pytest for...