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Data Warehouse ETL Backend Tester

Evolvers Group
United States
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Agile Methodology Automation of Tests Databases Data Validation Extract Transform Load (ETL) Data Loss Data Warehousing Database Queries Delivery Pipeline Snowflake Backend Information Technology

Job description

  • Validate data quality, completeness, and integrity within Snowflake.
  • Verify ETL transformations, mappings, and business rules.
  • Perform source-to-target data reconciliation.
  • Validate data loads and ensure no data loss or corruption.

Requirements

  • 8+ years of experience in ETL/Data Warehouse testing.
  • Strong experience testing Snowflake databases.
  • Hands-on experience with QuerySurge for automated data validation and reconciliation.
  • Extensive experience performing database integrity testing.
  • Expertise in validating ETL transformations to ensure source-to-target data accuracy.
  • Strong SQL skills for backend data validation.

Preferred Experience:

  • Automation testing experience.
  • Experience working in Agile environments.
  • Knowledge of CI/CD pipelines and automated testing frameworks.

Preferred Education:

Bachelor’’s degree in electronics, computer science, engineering, or a related field.

Apply for this position

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

Apply on www.dice.com

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 · WWC 2024

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

41 sec

Massive client data loss and bio-digital storage

Chris Heilmann +1 · LIVE

2:40 min

Evolving through early developer roles and technology stacks

Liam Hurrel +1 · WWC 2021

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · WWC 2024

Videos

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Modern Data Architectures need Software Engineering thumbnail
29:25
WWC 2024 • almost 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

Developing the Backend with Stefan Lingler, CTO at Shpock thumbnail
24:02
Coffee With Developers • about 8 years ago

Developing the Backend with Stefan Lingler, CTO at Shpock

Stefan Lingler, Thomas Pamminger

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
WWC 2022 • about 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge thumbnail
42:26
Coffee With Developers • over 1 year ago

How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge

Meta Atamel, Guillaume Laforge

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

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

Wei Hu

Branch your database like your code: How schema changes and pull requests go hand in hand thumbnail
48:05
LIVE • over 4 years ago

Branch your database like your code: How schema changes and pull requests go hand in hand

Johannes Nicolai, Lilli Seyther-Besecke

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