About this role
The team is seeking an experienced Azure Data Engineer to design and develop scalable data pipelines and optimize data processing solutions. The ideal candidate will have a strong background in Azure technologies and a passion for data engineering.
Key Responsibilities:
- Design and develop scalable data pipelines using Azure Data Factory (ADF) and Microsoft Fabric Data Factory.
- Optimize data processing solutions using Azure Databricks and PySpark.
- Work with Azure Synapse Analytics and Microsoft Fabric for data warehousing and analytics.
- Build and maintain ETL/ELT workflows using Fabric Data Pipelines, Dataflows Gen2, and Notebooks.
- Collaborate with teams to implement modern data architecture using Microsoft Fabric Lakehouse and OneLake.
- Develop complex SQL queries and stored procedures to support data operations.
Required Skills & Qualifications:
- Proficient in Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Strong experience with SQL and data modeling.
- Familiarity with PySpark and data processing frameworks.
- Experience with ETL/ELT processes and data warehousing concepts.
- Knowledge of Microsoft Fabric and data lake architectures.
Experience:
- 5-8 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work on cutting-edge technologies in a dynamic environment.
- Collaborative and innovative work culture.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.