Why this role stands out
This Senior Data Engineer role offers a fantastic opportunity to contribute to high-impact projects within a stable, growing financial industry leader, leveraging your Azure, Databricks, and Python expertise. You'll thrive in this hybrid environment if you're a seasoned data professional with a passion for modern data ecosystems and a desire to make a significant impact. Embrace this chance to advance your career with a reputable company!
Quick overview
Job description
No sponsorship available. No third-party candidates.
**Please note this is a hybrid role in NW Austin - 3 days on-site
This company has proven its staying power throughout its many successful years in business and their remarkable growth rates show no signs of slowing down anytime soon.
Our client in Austin, Texas is seeking a Senior Data Engineer to join their team for high-impact upcoming projects. Backed by a multibillion-dollar valuation and a strong presence in the financial industry, they offer stability and continuous growth.
Must-Have Qualifications
- Minimum 3 years of hands-on experience with Azure Databricks.
- At least 10 years of experience in data warehousing environments
- Minimum 3 years of hands-on Python development experience.
- Practical experience using Azure DevOps or Jira for workflow tracking.
- Hands-on fluency with modern data ecosystems, including Databricks/lakehouse platforms, data governance, MDM, semantic layers, data quality, and metadata/lineage.
- Background in regulated or financial services environments strongly preferred.
Nice-to-Have Qualifications
- PySpark experience is a plus.
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