Automation Test Analyst - Python

Requirements:

Should have 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)

Hands on experience with Automating any backend applications (e.g db , server

side).

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

Quick learner and good team member with positive attitude.

Good verbal and written communication skills.

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 (Mandatory) 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)