QA Engineer with Data Bricks and (PySpark) exp

Role Overview

QA Engineer focused on data engineering quality, with experience in Databricks and PySpark. This is a remote position with long-term duration.

Responsibilities

• Perform data validation to ensure data quality in ETL pipelines
• Test and validate data transformations built with PySpark on Databricks
• Write and use SQL to support data testing
• Apply QA methodologies and report/track defects

Requirements

• Experience with Databricks and PySpark
• Strong understanding of ETL and data validation
• Knowledge of SQL for data testing
• Experience with QA methodologies and defect tracking tools
• Good analytical/problem-solving and strong communication/teamwork skills

Nice-to-Haves

• Cloud experience with Azure or AWS or GCP