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# QA Engineer (AWS , Glue/S3, Java)

- **Company:** Intersources Inc.
- **Location:** Scottsdale, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Automation of Tests, Big Data, Data Validation, Extract Transform Load (ETL), Data Migration, Relational Databases, Software Debugging, Groovy, Performance Tuning, Software Deployment, SQL Databases, Data Streaming, Apache Spark, AWS Lambda, Indexer, Gitlab, Data Lakes, Information Technology, Avro, Cloudwatch, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/27380023#/jobs/27380023

## About the Role

* 6-8 years of IT experience focusing on Testing and Automation experience using Java and Groovy.

. Rest assured app concepts in automation.

 * Experience with Databricks & on Prem, Structured Streaming, Delta Lake concepts, and Delta Live Tables required

 * Experience with Spark Scala and Java programming

 * Data Lake concepts such as time travel and schema evolution and optimization

 * Experience leading and architecting enterprise-wide initiatives specifically in automation testing for ETL testing and several phases of testing, data migration, transformation.

 * understanding of streaming data pipelines and how they differ from batch systems

 * understanding of ETL and ELT and ETL/ELT tools such as Data Migration Service etc

 * Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus

 * Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design performance optimization)

 * Indexing and partitioning strategy experience

 * Debug, troubleshoot, and implement solutions to complex technical issues

 * Experience with large-scale, high-performance enterprise big data application deployment and testing

 * Architecture experience in AWS environment a bonus

 * Familiarity working with Lambda specifically with how to push and pull data, how to use AWS tools to view data for processing massive data at scale a bonus

 * Experience with Gitlab and CloudWatch and ability to write and maintain Gitlab for supporting CI/CD pipelines

 * Experience working with AWS Lambdas for configuration and optimization and experience with S3

 * Familiarity with Schema Registry, and message formats such as Avro, ORC, etc.

 * Ability to thrive in a team-based environment

## Description

* Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior-level of management


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