Senior Data QA Engineer

We are looking for a Senior Data QA Engineer who will be responsible for testing data pipelines and ensuring their quality, reliability, and accuracy. 

✅ Your responsibilities:

Design and maintain data tests and quality checks across the full pipeline

Create and execute end to end testing strategies for data pipelines

Implement monitoring, logging, and alerting for data workflows

Define and track SLAs for data freshness, completeness, and accuracy

Build scorecards and dashboards to monitor data quality

Identify and resolve issues related to data quality, performance, and reliability

Collaborate with analytics, data science, and platform engineering teams on scalable solutions

Contribute to code reviews, engineering standards, and support junior team members

🧠 Our requirements:

5+ years of experience in data engineering or backend data systems

Strong proficiency in Python or a similar programming language

Strong SQL skills, including complex joins and window functions

Experience building or implementing automation testing frameworks

Experience working with Snowflake or a similar data platform

Experience working with AWS S3 or other cloud object storage

Understanding of data warehousing and data modeling, including star and snowflake schemas

Good knowledge of GitHub best practices

Understanding of data security, access control, and governance

🌟 What we offer:

100% remote work

Long term, stable cooperation

Opportunity to work on challenging production systems at meaningful scale

Real impact on data quality, reliability, and engineering standards