Job Description
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:
You’ll be the key specialist supporting Azure Data Factory and Databricks during a major cloud migration initiative. If you thrive in fast-paced production environments—solving pipeline failures, optimizing Spark jobs, and keeping complex data workflows running—this 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