Python Automation Tester

Requirements

Primary Skills:

• Minimum 3 years of experience on working BigData technologies
• Good Programming skills
• Hands on Experience in Automating Backend Applications (e.g. db, REST API's)
• Knowledge of relational databases and SQL
• Good debugging skills
• Strong working experience working in Linux/Unix environment
• Strong understanding of testing methodologies
• Hands on experience in working on Big Data technologies like Hadoop, Spark
• Hand on experience in working with ETL Testing
• Hands on experience in QA Automation Framework development & Design & Strong hold on data structures
• Preferred language Python/Shell Scripting
• Strong Understanding of OS and performance benchmarking

Duties and Responsibilities:

• Testing big data ingestion and aggregation flows using spark shell and related queries
• Developing automation framework using programming languages such as python and automate the big data workflows such as ingestion, aggregation, ETL processing etc
• Debugging and troubleshooting issues within the big data ecosystem
• Set up the Big data platform and Hadoop ecosystem for testing
• Define test strategy and write test plan for the data platform enhancements and new features/services built on it
• Define the operating procedures, service monitors and alerts and work with the NOC team to get them implemented
• Responsible for system & performance testing of the data platform and applications
• Solve problems and establish plans and provide technical consultation in the design, development and test effort of complex engineering projects
• Review product specifications and write test cases, develop test plans for assigned areas
• Identifies issues and technical interdependencies and suggest possible solutions
• Recreate complex customer and production reported issues to determine root cause and verify the fix

Qualifications

Primary Skills:

• QA with good hands on experience with Unix/Linux QA experience in Networking and/or Big Data domain
• Automation experience into Python
• QA Methodologies understanding

Secondary Skills (Good to have): Experience in Big data platform & data analytics testing is an advantage. The Senior Software Engineer will have the end to end ownership of feature starting from testing, automation (if applicable), deployment and helping with monitoring of the feature(s)