Description
Data Specialist
Primary Skills
- Databricks Engineer Role Overview We are seeking a highly skilled Databricks Engineer to design, develop, and optimize scalable data engineering and analytics solutions on the Databricks Lakehouse Platform . The ideal candidate will possess strong expertise in Databricks, PySpark, and SQL , with hands-on experience building batch and real-time data pipelines, implementing Lakehouse architectures, and ensuring data governance and performance optimization. Key Responsibilities Design, develop, and maintain end-to-end data pipelines using Databricks and PySpark .
- Build and implement Lakehouse architectures utilizing Bronze, Silver, and Gold data layers.
- Develop and manage Delta Lake solutions with ACID transactions, schema enforcement, and data reliability features.
- Create, monitor, and optimize Delta Live Tables (DLT) pipelines.
- Implement scalable and efficient data ingestion processes using Auto Loader .
- Develop and manage real-time data processing solutions using Structured Streaming .
- Orchestrate, schedule, and monitor data workflows using Databricks Workflows .
- Design and implement Lakehouse data models to support reporting, analytics, and business intelligence requirements.
- Establish and enforce data governance, security, and access controls using Unity Catalog .
- Optimize Spark jobs, SQL queries, and overall platform performance to ensure efficiency and scalability.
- Collaborate with cross-functional teams, including data
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