Azure Data Engineer

A global enterprise organization is seeking an experienced Azure Data Engineer to support the design, development, and optimization of cloud-native data solutions. This role will focus on building scalable Azure-based data platforms and modernizing enterprise data infrastructure. The ideal candidate brings strong hands-on expertise with Databricks, PySpark, Python, and Azure cloud technologies. You will work closely with engineering and business stakeholders to develop reliable data pipelines, improve data accessibility, and support large-scale analytics initiatives.

• Design and implement scalable Azure-based data solutions.
• Build and optimize ETL/ELT pipelines using modern cloud technologies.
• Develop and maintain solutions using Azure Databricks and PySpark.
• Support enterprise data ingestion, transformation, and integration workflows.
• Work with Azure Data Factory, Data Lake Gen2, and Synapse environments.
• Develop APIs and integration services using Python frameworks such as FastAPI.
• Collaborate with engineering teams on CI/CD and Dev Ops best practices.
• Improve performance, reliability, and scalability across cloud data environments.

• Proven experience as a Data Engineer within Azure cloud environments.
• Strong hands‑on expertise with Databricks, PySpark, and Python.
• Experience with Azure Data Factory and Azure Data Lake Gen
  2.
• Strong SQL skills across relational and/or No
  
  SQL databases.
• Experience designing cloud-native ETL/ELT workflows.
• Familiarity with Azure Functions and API integrations.
• Understanding of CI/CD pipelines and Dev Ops workflows.
• Experience with Git, Jenkins, or similar tooling.
• Strong communication and collaboration skills.