AZURE DATA ENGINEER

Role:

Azure Databricks Data Engineer Location :

Charlotte, NC and Jersey City, NJ Onsite Job Type:

Contract Duration:

12 months with possible extension Job Summary We are seeking a skilled Data Engineer with strong expertise in Azure Databricks to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have hands-on experience with big data technologies, cloud platforms, and modern data architecture (lakehouse). Key Responsibilities Design, develop, and maintain scalable data pipelines using Azure Databricks Work with PySpark / Apache Spark for data processing and transformation Build and manage ETL/ELT workflows using Azure Data Factory (ADF) Integrate data from multiple sources into Azure Data Lake Storage (ADLS) Implement and optimize Delta Lake / Lakehouse architecture Perform data cleansing, validation, and transformation for analytics use cases Monitor and optimize performance of data pipelines and jobs Collaborate with data scientists, analysts, and business teams Ensure data security, governance, and compliance standards Troubleshoot production issues and perform root cause analysis Required Skills & Experience Strong hands-on experience with Azure Databricks Expertise in PySpark / Apache Spark Proficiency in SQL and Python Experience with Azure Data Factory (ADF) Knowledge of Azure Data Lake Storage (ADLS Gen2) Experience building ETL/ELT pipelines Understanding of data modeling (star/snowflake schemas) Familiarity with data warehousing concepts Strong debugging and performance tuning skills