Azure Data Engineer
Summary
Build and maintain scalable Azure data pipelines using Databricks, Spark, Data Factory, and SQL/T-SQL to support cloud data solutions.
Seeking a Azure Data Engineer with strong expertise in Azure data engineering, Databricks, Spark, Data Factory, SQL/T-SQL, and CI/CD to build and support scalable cloud data solutions.
Key Responsibilities
- Design, build, and maintain scalable Azure data pipelines and data platforms.
- Develop high-performance data processing solutions using Azure Databricks, Spark, and Azure Data Factory.
- Create and optimise SQL/T-SQL queries, ETL processes, and data transformations.
- Implement CI/CD pipelines and apply modern data engineering best practices.
- Partner with cross-functional teams to deliver secure and reliable data solutions.
Required Skills
- 10+ years of experience in Data Engineering or Software Engineering.
- Degree in Engineering, Computer Science, IT, or a related field.
- Strong expertise in Azure Databricks and Apache Spark (Mandatory).
- Hands-on experience with Azure Data Factory (ADF) (Mandatory).
- Advanced SQL/T-SQL and CI/CD knowledge.
- Microsoft Azure certification(s) or equivalent practical experience.