Description

Lead ETL testing and data reconciliation across heterogeneous databases following cloud migration.

This role is on-site.

Responsibilities

• Execute ETL testing and data reconciliation across heterogeneous databases post-cloud migration.
• Automate test cases using Python and Apache Spark to validate data integrity and performance.
• Develop test data, scripts, and validation procedures for complex data pipelines.
• Isolate, reproduce, and track defects, verifying fixes across multiple environments.
• Apply QA methodologies throughout the Software Development Lifecycle (SDLC).

Required Skills

• 6+ years of hands-on experience in ETL Testing with data validation and reconciliation.
• Strong knowledge of Databricks, Python, Spark, and Cloud Testing (AWS/Azure/GCP).
• Solid understanding of data pipelines, System Integration Testing (SIT), and database automation frameworks.
• Experience applying QA methodologies throughout the SDLC.
• Proficiency with ETL Testing and Apache Spark.
• Bachelor's degree in a related field.

Key Skills

Education

Bachelor's degree