QA Automation

INVU TECHNOLOGY, INC.
United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$156,000.0 - $187,200.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Airflow Amazon Web Services Amazon S3 Automation of Tests Computer Programming Information Engineering Data Infrastructure Data Integrity Extract Transform Load (ETL)
+14 more
Data Warehousing Python (Programming Language) Ruby Software Engineering Software Testing Automation Framework Snowflake Spock Information Technology AWS Glue Data Management Data Pipelines Api Management Amazon Redshift Databricks

Job description

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., * 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.

Requirements

Do you have experience in S3?, 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., * 5+ years experience in a QA Automation SDET role

  • 3+ years experience doing QA Automation in a data engineering 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., * How many years of experience do you have in a QA Automation/SDET role?
  • How many years of experience do you have performing QA Automation in a data engineering or data platform environment?
  • 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?

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.

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