Description

Architect and implement advanced analytics solutions using Azure Databricks Fabric.

Responsibilities

• Lead the design and implementation of advanced analytics solutions.
• Develop data pipelines and ETL processes using Azure Databricks, PySpark, and Azure Data Factory.
• Integrate Azure Databricks with Azure Data Lake, Synapse, and Data Factory.
• Oversee end-to-end data solution implementation aligned with business requirements.
• Provide technical leadership and mentor the data engineering team.

Required Skills

• 12+ years of expertise developing data ingestion and transformation pipelines.
• Strong experience with Azure Databricks, including cluster management and notebook development.
• Proficiency in big data technologies like Hadoop and PySpark.
• Deep understanding of Azure services: Azure Data Lake, Synapse, and Data Factory.
• Strong SQL skills and familiarity with NoSQL databases.
• Experience with ETL/ELT processes, data warehousing, and data lakes.
• Familiarity with CI/CD pipelines and Git version control.

Preferred Skills

• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree