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BairesDev is seeking a Senior Data Quality Engineer to design and implement automated data quality validations within a Databricks lakehouse environment. You will build regression tests and guardrails to ensure data quality across pipelines and data products.
You’ll work with Great Expectations or Deequ, detect schema drift, and enforce completeness SLAs while collaborating with a global, remote-first team. This role offers flexible hours and international opportunities.
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
In this role, you'll build automated data quality validation for pipelines and data products within a Databricks lakehouse environment. You'll ensure data quality issues are caught early through regression testing and modern validation frameworks. This is your opportunity to apply rigorous engineering discipline to data quality, building the automated guardrails that keep a lakehouse platform trustworthy.
Join a global team where your unique talents can truly thrive and make a significant impact!
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