About this role
The team is seeking an experienced Azure Data Engineer who is ready to join immediately. The ideal candidate will have a strong background in data engineering and a passion for working with Azure technologies.
Key Responsibilities:
- Design, develop, and maintain data pipelines using Azure Data Factory and Azure Databricks.
- Implement ETL/ELT processes to ensure efficient data integration and transformation.
- Work with Apache Spark and PySpark for data processing and analysis.
- Manage and optimize data storage solutions using Azure Data Lake Storage (ADLS) and Azure SQL Database.
- Collaborate with data scientists and analysts to support data-driven decision-making.
- Ensure data quality and integrity throughout the data lifecycle.
Required Skills & Qualifications:
- Proficiency in Azure Databricks, Azure Data Factory (ADF), and Apache Spark.
- Strong experience with SQL and data warehousing concepts.
- Familiarity with Azure Synapse Analytics and Delta Lake.
- Knowledge of data governance and best practices in data management.
- Excellent problem-solving skills and attention to detail.
Experience:
- 5-8 years of relevant experience in data engineering, with a focus on Azure technologies.
What we offer:
- An opportunity to work with cutting-edge technologies in a dynamic environment.
- A collaborative team culture that values innovation and professional growth.
- The chance to make a significant impact on data-driven projects.
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.