Data Engineer Azure Databricks
Kanshe Infotech
Warren, NJ, United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Microsoft Azure
Continuous Integration
Extract Transform Load (ETL)
Python (Programming Language)
Log Analysis
Standard Sql
Azure Data Lake
Azure Data Factory
Apache Spark
Data Lakes
Information Technology
+3 more
Data Pipelines
Key Vault
Databricks
Requirements
We are seeking a Senior Data Engineer with strong Azure Databricks and Lakehouse experience to design and deliver scalable enterprise data solutions., * 15+ years of overall IT experience.
- Strong hands-on experience with Azure Databricks, Lakehouse, and Delta Lake.
- Experience with Azure Data Factory (ADF) and ADLS Gen2.
- Strong SQL and Python skills.
- Experience with Apache Spark and ETL/ELT development.
- Experience designing scalable batch and real-time data pipelines.
- Strong knowledge of data modeling, data quality, security, and governance.
- Experience with Azure DevOps, CI/CD, and Agile environments.
- Strong technical leadership and stakeholder communication skills.
- Azure Databricks Certification is mandatory.
Preferred Skills:
- Experience with Unity Catalog.
- Experience with Synapse Analytics, Key Vault, Azure Monitor, or Log Analytics.
- Experience with performance and cost optimization.
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