About this role
The team is seeking an experienced Azure Data Engineer to join their team. In this role, you will design, develop, and maintain end-to-end Azure data engineering solutions. You will work with Azure Data Factory, Azure Databricks, and Azure Data Lake Store to build scalable and high-performance ELT/ETL pipelines for data ingestion, transformation, and integration from multiple source systems.
Key Responsibilities:
- Design and implement data models optimized for analytics, reporting, and enterprise data platforms.
- Develop robust data processing workflows using PySpark, Python, and SQL within Azure Databricks.
- Ensure data quality and integrity throughout the data pipeline lifecycle.
- Collaborate with data analysts and data scientists to understand data requirements and provide solutions.
- Monitor and troubleshoot data pipelines to ensure optimal performance and reliability.
Required Skills & Qualifications:
- Strong experience with Azure Data Factory, Azure Databricks, and Azure Data Lake Store.
- Proficiency in programming languages such as Python and SQL.
- Experience with data modeling and data warehousing concepts.
- Familiarity with ELT/ETL processes and data integration techniques.
- Excellent problem-solving skills and attention to detail.
Experience:
- Minimum of 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 team 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.