Description

Own the design and maintenance of automated test solutions for data pipelines and backend systems.

Responsibilities

• Design and develop automated test solutions using Python.
• Perform rigorous data validation and testing using Pandas, PySpark, and DataFrames.
• Develop test automation for data pipelines, ETL processes, and backend systems.
• Analyze large datasets to identify quality issues and inconsistencies.
• Execute automation suites and provide detailed root-cause analysis for defects.

Required Skills

• Strong hands-on experience with Python (5+ years).
• Advanced expertise in Pandas and PySpark.
• Proven experience in Data Testing and Data Validation.
• Solid understanding of backend systems and API testing.
• Familiarity with SQL for data verification.
• Strong analytical skills for processing large-scale data environments.
• Bachelor's degree in a related field.

Preferred Skills

• Experience in backend automation testing specifically using Python.
• Exposure to ETL testing or Big Data platforms.

Key Skills

Education

Bachelor's degree