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Azure Databricks Developer
1 week ago
Data Engineering Expertise
- Develop end-to-end data pipelines to ingest, transform, and store large-scale datasets using technologies like Azure Data Factory, Databricks, and SQL.
- Work closely with data engineers, analysts, and business stakeholders to understand data needs and deliver solutions that support data-driven decision-making.
- Develop data ingestion pipelines utilizing Delta Live Tables (DLT) and Structured Streaming to handle both batch and real-time data ingestion requirements.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
- 5 years of experience in data engineering, building and managing data pipelines, and working with large datasets.
- Proficiency in working with Azure Data Factory, Databricks, and SQL-based data solutions.
Benefits
- Strong analytical skills, with the ability to troubleshoot complex data issues and optimize performance across data systems.
- Excellent teamwork and communication skills, with the ability to work with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.