Expert Azure Databricks Engineer for Scalable Data Solutions
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Job Description
Become a key player as an Azure Databricks Engineer, specializing in crafting scalable data pipelines and analytics solutions on a robust cloud platform. Leverage your experience in Azure Data Factory and big data processing.
This position focuses on developing and maintaining complex ETL/ELT workflows and distributed computing architectures. You will work closely with data from multiple sources, incorporate Azure Data Lake Storage, and ensure high data quality and governance standards. Collaborating with data scientists and analysts, you’ll deliver cutting-edge data solutions in this technical role.
Key Responsibilities:
- Design scalable data pipelines with Azure Data Factory
- Optimize workflows using Azure Databricks (PySpark/Scala)
- Create ETL/ELT processes for large datasets
- Integrate data from APIs, databases, and lakes
- Monitor and optimize pipeline performance
Requirements
- Bachelor’s in Computer Science or Engineering
- 10+ years in Azure data engineering
- Proficiency in SQL and relational databases
- Big data technologies and distributed processing knowledge
- Experience with Git and CI/CD tools
Utilize your Azure expertise to implement efficient data solutions that meet high standards of quality and security.
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