DS
Dhannush Subramani
Top Big Data Technologies That You Need to Know
about 4 years ago
Data Engineer Azure Databricks
BURGEON IT SERVICES LLC
Ann Arbor, MI, United States
9 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Information Engineering
Data Governance
Extract Transform Load (ETL)
Database Queries
Distributed Computing Environment
Python (Programming Language)
Key Management
Azure Data Lake
Azure Data Factory
Gitlab
Git
Data Lakes
+5 more
Pyspark
Restful APIs
Software Version Control
Databricks
Control M
Job description
We are looking for a Senior Data Engineer with strong hands-on experience in Azure Databricks, Azure Data Factory (ADF), and PySpark to design, develop, and maintain enterprise data pipelines.
Requirements
8 10+ years of Data Engineering experience * Strong hands-on experience with Azure Databricks * Strong experience with Azure Data Factory (ADF) * Strong PySpark and Python development experience * Strong SQL skills * Experience with Delta Lake * Experience with Unity Catalog and/or DLT (Delta Live Tables) * Experience with Azure Data Lake Storage (ADLS) * Strong understanding of ETL/ELT and distributed data processing * Experience with Git/GitLab and version control * Ability to work independently in a client-facing onsite environment
Preferred Skills * Databricks REST API * Azure Key Vault / Blob Storage * Data Governance * Control-M
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Prepare application
- Draft this with your agent
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Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists3:03 min
Career evolution in data engineering and AI platforms
Maria Apazoglou · Coffee With Developers
6:21 min
Investigating push inefficiencies with upstream Git experts
Jonathan Creamer · Coffee With Developers
4:32 min
Harnessing Spark with Python using PySpark and Py4J
Ayon Roy · LIVE
6:14 min
Structuring CI/CD pipelines with integrated security and quality checks
Christoph Ruggenthaler · LIVE
1:29 min
Utilizing specific tooling for continuous integration and modeling
Christoph Fassbach +1 · World Congress 2024
2:57 min
Core technical practices for robust data engineering
Sandhya Menon · World Congress 2026 Europe
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