Position Details
About this role
Data Engineer in Los Angeles hybrid environment building scalable data pipelines and real-time analytics using Azure technologies; works with stakeholders to deliver dashboards.
Key Responsibilities
- Design, develop, and implement data pipelines and ETL workflows using Azure Databricks and Synapse Analytics
- Manage and optimize big data processes for scalability and data accuracy
- Build real-time data pipelines using Kafka, Event Hubs, and Spark Streaming
- Apply Python and Spark SQL to build analytics and ML-ready data solutions
- Collaborate with stakeholders to implement dashboards using Power BI
Technical Overview
Stack includes Azure Databricks, Azure Synapse Analytics, Synapse Pipelines, Kafka, Event Hubs, Spark Streaming, Spark SQL, Python, Power BI, ML Flow; emphasis on ETL and data integration.
Ideal Candidate
The ideal candidate is a mid-level data engineer with hands-on experience building scalable data pipelines and real-time analytics using Azure Databricks and Synapse, collaborating with business analysts to create Power BI dashboards.
Must-Have Skills
None listed
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
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