Description

You will own the quality strategy for data pipelines, ETL processes, and analytics systems. Your work ensures data accuracy, consistency, and reliability across complex cloud environments.

Responsibilities

• Design and execute comprehensive test strategies for data platforms and analytics systems.
• Perform end-to-end data validation, including 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, ensuring KPIs, filters, calculated fields, and data consistency are accurate.
• Build automation scripts using Python for data validation and regression testing.

Required Skills

• 5+ years of experience in QA or Data Testing roles with hands-on ETL/ELT pipeline testing.
• Strong proficiency in SQL, including advanced query writing for data validation.
• Experience with Python for building automation frameworks and test scripts.
• 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