We are looking for a passionate and skilled Senior Software QA Engineer to be part of the Big

Data platform team.

As a team member, you will work closely with Development, DevOps, and QA, to learn and

should have Automation first mindset, work on the latest Big Data technologies, lead PoCs to

exercise new ideas and influence our technology stack's future direction.

Duties and Responsibilities

Must have

Develop and execute tests at all levels of the testing pyramid (unit tests, integration tests,

performance tests, end-to-end tests, functional, security tests. etc.)

Triage and resolve automated test failures with data engineers directly

Build and maintain automated testing, test environments, and test data

Highly Desired

Communicate and collaborate effectively with stakeholders from Development, Project

Management, Product Management, and other QA team members.

Proactively seek out and share information with team members.

Lead test preparation and test execution activities for data conversion, including test plans,

test cases, and mapping of test cases to business requirements

Good to have

Collaborate with application SME and data engineering teams to develop a comprehensive

test plan that validates data platform functionality

Develop automated tests using test automation tools following defined best practices

Collaborate with DevOps on CI/CD pipelines.

Accurately report testing results and progress at appropriate intervals as established by the

functional and/or application development areas.

There is a lot of communication involved! Excellent interpersonal skills are highly valued.

Testing Tools

Must have

Basic proficiency with SQL

Basic proficiency with Python

Experience with BI systems like Tableau

Experience in PowerBI will also be considered

Highly Desired

Java, Scala, Powershell, bash

Great Expectations / AWS Dequee

Any other similar programming language will also be considered

Big data Tools

Must have

Working experience with Amazon Web Services or similar Cloud offerings

Experience in other Public Cloud vendors like Microsoft Azure or Google Cloud will also be

considered.

Highly Desired

AWS analytics ecosystem

Airflow, Glue, Athena/Presto, Redshift, Spark, S3, Lambda

Kafka, Kinesis, Flink, Dynamo

Good to have

Exposure to NoSQL databases

Collaboration Tools

JIRA

Confluence

JAMA

Past Job Experience

Must have

Prior experience in testing data platforms and data lakes

Good to know - Time-series data stores.

Experience with Continuous Integration and Continuous Deployment

Experience designing, managing, programming, and operating complex automated testing

processes.

Highly desired

To have experience in identifying the root cause of a defect, using debugging tools and

techniques to analyze code, log files, and other artifacts.

Good to have

Experience developing and maintaining test automation of REST APIs using Swagger,

Postman, or other web service API testing tools.

Minimum Qualifications

Must have

5+ years of experience in software development/testing.

Bachelorʼs degree in Computer Science, Math, Physics, or other technical field.

Highly desired

3+ years of experience in designing, automating and executing integration, performance,

and scalability testing