Description

You will validate big data pipelines, ETL processes, and backend application integrity. You own the release pipeline by ensuring data accuracy and system reliability.

Responsibilities

• Execute ETL testing to ensure data accuracy and integrity across big data pipelines.
• Develop and design QA automation frameworks from the ground up.
• Automate backend applications, including databases and REST APIs.
• Debug complex data issues within Linux/Unix environments.
• Perform performance benchmarking and OS-level analysis.

Required Skills

• 5+ years of experience with Big Data technologies, including Hadoop and Spark.
• Proven expertise in ETL testing and Big Data testing methodologies.
• Strong proficiency in SQL and relational database testing.
• Experience automating REST APIs and server-side applications.
• Strong working knowledge of Linux/Unix environments.
• Solid understanding of data structures and programming logic.

Preferred Skills

• Proficiency in Python or Shell Scripting.

Key Skills

Education

Any Graduate