Data QE

  • Austin, TX
  • Posted 7 hours ago | Updated 7 hours ago

Overview

Hybrid
$60 - $70
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

API
API QA
Amazon DynamoDB
Amazon RDS
Amazon S3
Amazon Web Services
Artificial Intelligence
Database
Extract
Transform
Load
GitHub
Docker
Kubernetes
SQL
Test Scripts
Test Plans
Web Services

Job Details

Solid experience in testing SQL procedures and the ability to understand/write complex SQL queries to perform data validation
Hands-on experience creating and executing test plans, test cases, and test scripts for Database/ETL Workflows
Minimum of 2 years of hands-on experience working with AWS services like Glue, S3, RDS, DynamoDB, Lambda, and exposure to Bedrock model integration or experience with other cloud vendors
AI Tools / Models / Training Data Set exposure is a plus for adoption in testing methodologies
Hands-on experience analyzing data, comparing with mapping documents, and debugging to identify the root cause
Familiarity with Docker and Kubernetes; Snowflake and Data Lake
Hands-on experience Testing and Automation development forBatch Jobs, Data Feeds, API / Web services / Swagger
Experience with test frameworks like Junit, TestNG; Code Versioning tools like GIT
Experience with CI/CD with TeamCity/OctopJenkins; and integrate AI-based quality gates and observability into CI/CD pipelines like GitHub Co-pilot
Envision opportunities and apply AI low code/ no code automation techniques to improvise the test coverage
Experience with Jira or similar Agile process tools
Experience with web application and API testing.

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