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.
RESPONSIBILITIES
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 DevOps best practices.
Improve performance, reliability, and scalability across cloud data environments.
QUALIFICATIONS
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 Gen2.
Strong SQL skills across relational and/or NoSQL databases.