Job Title: QA Automation

About the Company:

Invu Technology is a respected boutique technology services firm headquartered in Silicon Valley, renowned for delivering top-tier solutions to leading startups and corporate clients for over two decades. Our team has garnered invaluable expertise through high-profile projects for esteemed companies such as American Express, Cisco, Autodesk, Boku, Convoke Systems, Rapid Recon, and Billd.

About the Job:

We're seeking a highly skilled QA Automation Engineer with extensive experience in data engineering environments to join an extensive engagement with one of our key clients, a prominent player in the FinTech industry.

In this CONTRACT role, you will be instrumental in ensuring the quality and reliability of our clients data engineering environment by designing, developing, executing, and maintaining automated test scripts. The successful candidate will play a pivotal role in driving quality assurance initiatives and optimizing testing processes.

Key Responsibilities:

• Design, develop, maintain, and execute automated test scripts in a data platform environment using Test Automation frameworks
• Perform data pipeline and API testing to verify quality of the pipelines and integrity and completeness of the data in every step of the process
• Work in an AWS environment and work with tools like Glu, S3 pipeline, Apache Airflow, Snowflake, Databricks and Redshift for AWS
• Collaborate closely with cross-functional teams to understand project requirements and design comprehensive test plans.
• Identify, analyze, and document software defects, and work collaboratively with development teams to resolve issues.
• Contribute to the continuous improvement of QA processes and practices, with a focus on enhancing test automation frameworks and tools.

Required Skills and Qualifications:

• 5+ years experience in a QA Automation SDET role
• 3+ years experience doing QA Automation in a data engineering environment
• 3+Automation testing experience in data platforms (Cloudera/Hadoop and cloud/hybrid environments) including retry automation testing
• 3+ working in a Linux environment
• 3+ years of experience with testing data pipelines, data APIs, and data integrity in an AWS environment
• 3+ years of experience with Test Automation frameworks such as Spock or other
• 3+ years developing automation using languages like Ruby, Java, Python
• 3+ years experience with services including AWS, Glu, S3 pipeline, and Redshift.
• Strong programming skills in languages such as Java, Ruby, or similar.
• Solid understanding of software development agile methodologies.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Bachelor's degree in Computer Science, Engineering, or related field.

Pay: $70.00 - $80.00 per hour

Application Question(s):

• How many years of experience do you have in a QA Automation/SDET role?
• How many years of experience do you have testing ETL processes, data pipelines, or data warehouses?
• How many years of experience do you have with AWS Glue, S3, or Amazon Redshift?

• Have you built or maintained automated test frameworks for data platforms, ETL pipelines, or data warehouses?
• How many years of experience do you have Automation testing experience in data platforms (Cloudera/Hadoop and cloud/hybrid environments) including retry automation testing?

• How many years of experience do you have working in a Linux environment?

Work Location: Remote