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ETL Tester

Siri InfoSolutions Inc
Boston, MA, United States
7 days ago
Apply on www.careerjet.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.careerjet.com

Tech stack

Java (Programming Language) Artificial Intelligence Automation of Tests Data Validation Extract Transform Load (ETL) Data Warehousing Database Queries Python (Programming Language) Selenium SQL Databases Large Language Models Software Troubleshooting
+4 more
Generative AI Pytest Data Pipelines Api Management

Job description

We are seeking an experienced ETL Tester / Data QA Engineer with strong expertise in SQL, ETL testing, data validation, and test automation, along with exposure to AI/Generative AI technologies. The ideal candidate will be responsible for validating data pipelines, ensuring data accuracy and quality, and developing automated testing solutions for data and ETL processes.

Requirements

Must Have Technical Skills

  • Strong hands-on experience in ETL Testing and Data Warehouse Testing
  • Strong SQL skills, including complex queries, joins, subqueries, CTEs, and data validation
  • Experience with data validation, reconciliation, and data quality testing
  • Strong experience with Automation Testing / Test Automation
  • Experience with automation using Python, Java, Selenium, PyTest, or similar frameworks
  • Experience testing ETL/ELT data pipelines
  • Experience with API testing is preferred
  • Exposure to AI, Generative AI, LLMs, or AI-assisted testing
  • Experience working with Agile/Scrum development methodologies
  • Strong troubleshooting and analytical skills

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This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

2:35 min

Selecting Selenium for browser automation and testing

Benjamin Bischoff Benjamin Bischoff · Europe 2026 Virtual

3:05 min

Tagging and organizing execution scenarios with pytest markers

Florian Bruhin · World Congress 2021

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

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LIVE • over 5 years ago

Proactive monitoring and smoke testing in your production environment

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Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

pytest: Simple, rapid and fun testing with Python thumbnail
47:19
World Congress 2021 • about 5 years ago

pytest: Simple, rapid and fun testing with Python

Florian Bruhin

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Old tools, new tricks thumbnail
33:28
Europe 2026 Virtual • about 2 months ago

Old tools, new tricks

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Automagic Configuration in Python thumbnail
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Automagic Configuration in Python

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