ETL Big Data Tester

Overview

Remote
Depends on Experience
Contract - W2
Contract - 6 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Amazon Web Services
Agile
Data Quality
Automated Testing
Big Data
Cloud Computing
Data Validation
Data Lake
Databricks
Data Warehouse
Extract, Transform, Load
Google Cloud Platform
PySpark
Quality Assurance
Snow Flake Schema
Testing

Job Details

We are seeking a skilled ETL / Big Data Tester experienced in testing data pipelines, ETL workflows, and analytical data models across large-scale distributed systems. The role involves hands-on work with Databricks, PySpark, and SQL to ensure data accuracy, integrity, and performance. Experience in data lake / Delta Lake testing, automation, and cloud platforms (AWS, Azure, or Google Cloud Platform) is essential.

 

Required Qualifications:

8+ years in data testing / QA for enterprise data systems.

5+ years in ETL / Big Data pipeline testing.

4+ years in Databricks and PySpark (Data Frame APIs, UDFs, transformations).

Strong SQL skills for data validation (joins, aggregations, window functions).

3+ years in Delta Lake / data lake testing.

3+ years in Python scripting for test automation.

Experience with cloud data platforms (Azure, AWS, or Google Cloud Platform).

Solid knowledge of data warehousing, modeling (Star/Snowflake), and QA frameworks.

Experience working in Agile / SAFe environments.

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