Summary: The Data Engineer (Azure Databricks) role involves designing and implementing scalable data pipelines using Azure technologies for a leading semiconductor manufacturer. The position emphasizes experience with Azure Data Services and Databricks, offering a long-term remote working opportunity. Candidates should have a strong background in data engineering and cloud technologies. This role is critical for optimizing data workflows and enhancing data processing efficiency.

Key Responsibilities:

• Design, develop, and implement scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
• Build and optimize ETL/ELT workflows for efficient data ingestion, transformation, and processing.
• Develop data models and implement best practices for data warehousing and lakehouse architectures.
• Optimize Apache Spark jobs in Databricks for performance and cost-efficiency.

Key Skills:

• 3-4+ years of experience as a Data Engineer, with a strong focus on Azure cloud technologies.
• Hands-on experience with Azure Databricks, Apache Spark, PySpark, and Delta Lake.
• Proficiency in SQL, Python, or Scala for data processing and automation.
• Experience with Azure Data Factory, Azure Synapse Analytics, and Azure Blob Storage.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.

Salary (Rate): undetermined

City: undetermined

Country: Philippines

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT