Description

You own the quality strategy for data pipelines, ETL processes, and analytics systems, ensuring data accuracy and consistency across cloud environments.

This role is on-site.

Responsibilities

• Design and execute test strategies for data platforms and analytics systems.
• Perform end-to-end data validation and source-to-target reconciliation across multiple data layers.
• Write complex SQL queries using CTEs, joins, aggregations, and window functions to validate transformations.
• Validate Tableau dashboards, verifying KPIs, filters, calculated fields, and data consistency.
• Build automation scripts in Python for data validation and regression testing.

Required Skills

• 5+ years of experience in QA or Data Testing with hands-on ETL/ELT pipeline testing.
• Strong proficiency in SQL, specifically for advanced data validation queries.
• Experience building automation frameworks and test scripts using Python.
• Proficiency with AWS ecosystem tools, including S3, Athena, Glue, and Airflow.
• Experience validating data visualizations and dashboards in Tableau.
• Familiarity with CI/CD pipelines using Jenkins or GitHub Actions.
• Ability to leverage AI tools (ChatGPT, Copilot, Claude) for generating queries, test cases, and debugging.

Preferred Skills

• Exposure to Big Data tools like Spark and Kafka.
• Experience with data analysis and root cause analysis for anomaly detection.

Key Skills

Education

Any Graduate