
Databricks Developer
3 days ago
Job Description:
Azure Databricks Engineers play a pivotal role in designing and implementing cutting-edge data solutions for our organization. They are responsible for managing Databricks clusters, including provisioning, configuration, and optimization.
Key Responsibilities:
- Manage Databricks clusters for optimal performance.
- Configure and manage user access to Databricks services such as notebooks, SQL, workflows, and mlflow.
- Integrate Azure services like Azure Data Factory, Azure Data Lake Storage, and Azure Synapse Analytics with Databricks for end-to-end data processing solutions.
- Develop high-performance Spark code for data manipulation and analysis.
- Monitor and troubleshoot Databricks jobs and pipelines for performance and stability.
- Generate reports on Databricks workspace usage.
- Collaborate with cross-functional teams to design and implement data-driven solutions.
Requirements:
- Proven experience of 5+ years working with Microsoft Azure and Azure Databricks.
- Strong understanding of data warehousing and data lake concepts.
- Experience with Apache Spark for large-scale data processing.
- Proficiency in programming languages like Python (PySpark).
- Experience with SQL and relational databases.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
Benefits:
Our team offers a collaborative and dynamic work environment that fosters growth and learning. We prioritize innovation and employee development, providing opportunities for professional advancement and skill enhancement.
Why Choose Us:
At our organization, we value diversity, equity, and inclusion. We strive to create a workplace culture that is inclusive, respectful, and supportive of all employees. Our commitment to excellence and customer satisfaction drives us to deliver high-quality results and exceed expectations.
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