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We are seeking an experienced Azure Databricks Developer to build and maintain scalable data processing solutions on the Azure cloud platform. The ideal candidate will work with big data technologies, develop data pipelines, and support advanced analytics and data engineering initiatives.
Job Responsibility:
Design, develop, and maintain data pipelines using Azure Databricks
Work with Apache Spark, Python, and SQL for large-scale data processing
Integrate data from multiple sources using Azure Data Factory and Azure Data Lake
Optimize Spark jobs and data workflows for performance and scalability
Collaborate with data engineers, analysts, and business teams to deliver data solutions
Implement ETL/ELT processes and data transformation logic
Ensure data quality, governance, and security best practices
Troubleshoot and resolve performance or processing issues
Requirements:
Strong hands-on experience with Azure Databricks and Apache Spark
Proficiency in Python, PySpark, and SQL
Experience with Azure Data Factory, Data Lake, and Synapse
Knowledge of big data architecture and ETL/ELT pipeline development
Strong analytical and problem-solving skills
Experience working in cloud-based data environments
Nice to have:
Azure certification such as Azure Data Engineer Associate
Experience with CI/CD pipelines and DevOps practices
Familiarity with Power BI or other data visualization tools