We're looking for an experienced Azure Databricks Engineer to design and build cutting-edge data solutions on cloud-native platforms. If you have a passion for modern data architecture and a track record of success, we want to hear from you.
What You'll Bring:
12+ years of experience developing data ingestion, processing, and analytical pipelines for big data and relational databases.
4+ years of hands-on experience with core Microsoft Azure services, including SQL, Python, and data integration patterns using tools like Informatica IICS and Databricks notebooks.
Strong knowledge of Delta Lake, data warehousing technologies, and cloud platforms, with a strong preference for Azure.
Experience with on-premise and cloud databases (e.g., Oracle, SQL Server).
Familiarity with Agile methodologies (Scrum, SAFe) and tools (Jira, Azure DevOps).
Experience with large-scale data ingestion, cloud process flows, data quality, and master data management.
Our Ideal Candidate
A deep understanding of data security challenges and solutions, particularly with Databricks.
In-depth knowledge of data delivery, architectural principles, data modeling concepts, and the entire data production process.
Excellent verbal and written communication skills, with a collaborative, teamwork-oriented mindset.
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