About this role
The team is seeking a technically strong Azure Data Engineer who can take ownership of designing and developing cutting-edge data and AI platforms using Azure-native technologies and Databricks. In this role, you will play a critical part in building scalable data pipelines, modern data architectures, and intelligent analytics solutions.
Key Responsibilities:
- Design and implement scalable, metadata-driven frameworks for data ingestion, quality, and transformation.
- Develop and optimize data pipelines using Azure Data Factory and Databricks.
- Collaborate with data scientists and analysts to support data-driven decision-making.
- Ensure data governance and compliance across all data solutions.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay updated with the latest trends and best practices in data engineering and Azure technologies.
Required Skills & Qualifications:
- Strong experience with Azure services, including Azure Data Lake, Azure SQL Database, and Azure Databricks.
- Proficiency in programming languages such as Python or Scala.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Familiarity with data visualization tools like Power BI or Tableau is a plus.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
Experience:
- Minimum of 5-8 years of experience in data engineering or a related field.
What we offer:
- Opportunity to work on innovative projects in a collaborative environment.
- Professional development and growth opportunities.
- A dynamic team that values creativity and initiative.
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.