JCW Group
Azure Cloud Data Engineer (Charlotte)
JCW Group, Charlotte, North Carolina, United States, 28245
Overview :
A leading global Bank is strengthening its Data Engineering & Production Support function, seeking an Azure Cloud Data Engineer to support mission-critical data pipelines, orchestrations, and ETL workloads within Azure. This is a hands-on, high-impact role focused on reliability, uptime, and seamless data movement across the enterprise.
About the Role: Youll be the key specialist supporting Azure Data Factory and Databricks during a major cloud migration initiative. If you thrive in fast-paced production environmentssolving pipeline failures, optimizing Spark jobs, and keeping complex data workflows runningthis role gives you real responsibility, visibility, and technical ownership.
Responsibilities: Support and troubleshoot Azure Data Factory pipelines and Databricks jobs across production environments. Ensure stability, performance, and uptime of ETL/ELT workflows during cloud migration initiatives. Perform root-cause analysis on pipeline failures, Spark issues, cluster timeouts, and data mismatches. Collaborate with engineering and DevOps teams to optimize workflows, deployments, and cloud integrations.
Qualifications Strong experience with Azure Data Factory, Databricks, and Azure-based data engineering. Proven background in ETL/ELT processes, data integration, and orchestration. Solid understanding of cloud data services (ADLS Gen2, Azure SQL, Databricks, Functions, etc.). Hands-on experience in monitoring, debugging, and optimizing production data pipelines.
Required Skills Azure Data Factory Databricks ETL/ELT processes Data integration Cloud data services
Preferred Skills Experience with Azure SQL Knowledge of ADLS Gen2 Familiarity with Azure Functions
About the Role: Youll be the key specialist supporting Azure Data Factory and Databricks during a major cloud migration initiative. If you thrive in fast-paced production environmentssolving pipeline failures, optimizing Spark jobs, and keeping complex data workflows runningthis role gives you real responsibility, visibility, and technical ownership.
Responsibilities: Support and troubleshoot Azure Data Factory pipelines and Databricks jobs across production environments. Ensure stability, performance, and uptime of ETL/ELT workflows during cloud migration initiatives. Perform root-cause analysis on pipeline failures, Spark issues, cluster timeouts, and data mismatches. Collaborate with engineering and DevOps teams to optimize workflows, deployments, and cloud integrations.
Qualifications Strong experience with Azure Data Factory, Databricks, and Azure-based data engineering. Proven background in ETL/ELT processes, data integration, and orchestration. Solid understanding of cloud data services (ADLS Gen2, Azure SQL, Databricks, Functions, etc.). Hands-on experience in monitoring, debugging, and optimizing production data pipelines.
Required Skills Azure Data Factory Databricks ETL/ELT processes Data integration Cloud data services
Preferred Skills Experience with Azure SQL Knowledge of ADLS Gen2 Familiarity with Azure Functions