About this role
The team is seeking a skilled Azure Data Engineer to leverage Azure technologies for driving data transformation, analytics, and machine learning initiatives. In this role, you will design and implement scalable Databricks data pipelines using PySpark, transforming raw data into actionable insights.
Key Responsibilities:
- Design and develop data pipelines on Azure Databricks.
- Execute large-scale data processing using Spark Pools, ensuring optimal performance through fine-tuning configurations.
- Collaborate with data scientists and analysts to understand data requirements and deliver quality data solutions.
- Monitor and troubleshoot data pipelines to ensure high availability and reliability.
- Implement best practices for data governance and security within Azure environments.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Minimum of 3 years of experience in data engineering.
- Proficiency in Azure Databricks and PySpark.
- Strong understanding of data modeling, ETL processes, and data warehousing concepts.
- Familiarity with Azure services such as Azure Data Lake, Azure SQL Database, and Azure Functions.
- Excellent problem-solving skills and attention to detail.
Experience: 3-5 years in data engineering, with a focus on Azure technologies.
What we offer:
The team provides a dynamic work environment, opportunities for professional growth, and the chance to work on cutting-edge technologies in the field of data engineering.
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.