Description

You will validate data integrity and transformation logic across complex data pipelines and cloud infrastructures.

This role is on-site.

Responsibilities

• Validate source and target data loads using complex SQL scripting across Oracle, AWS Redshift, and MS SQL Server.
• Test Big Data pipelines within AWS cloud infrastructure using Hadoop and Spark frameworks.
• Execute testing types including Black Box, Smoke, Functional, System Integration, End-to-End, Regression, and User Acceptance Testing.
• Perform Load, Performance, and Stress testing as required.
• Manage test cases and defect tracking using JIRA and Excel, and participate in defect triaging during major releases.

Required Skills

• 5+ years of experience in ETL and data testing.
• Proficiency in SQL scripting for data validation.
• Experience with AWS Redshift, Oracle, and MS SQL Server.
• Hands-on experience with Hadoop and Spark frameworks.
• Knowledge of PySpark and Spark DataFrame API for data manipulation.
• Experience working in Agile Scrum environments using SDLC and STLC methodologies.
• Competency in Functional and System Integration testing.
• Strong understanding of Data Warehouse, ETL processing, and BI architecture.

Preferred Skills

• Python scripting for automated test script creation.
• Experience with TOSCA automation tools.
• Functional knowledge of Salesforce CRM or Oracle Eloqua.

Key Skills

Education

Any Graduate