About this role
The team is seeking an experienced Azure Data Engineer to implement robust Azure data solutions. The ideal candidate will leverage Data Factory and Data Lake to streamline data processing workflows and enhance overall system efficiency.
Key Responsibilities:
- Develop and optimize Python and PySpark scripts to transform raw data into actionable insights.
- Enable data-driven decision-making across the organization through effective data solutions.
- Design and execute comprehensive data migration strategies for large-scale datasets.
- Ensure seamless transition of data while maintaining data integrity and minimizing downtime.
- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
Required Skills & Qualifications:
- Strong experience with Azure Data Factory and Azure Data Lake.
- Proficiency in Python and PySpark for data transformation tasks.
- Solid understanding of data migration processes and best practices.
- Experience in optimizing data processing workflows for efficiency.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- 5-8 years of relevant experience in data engineering, specifically with Azure technologies.
What we offer:
- A dynamic work environment with opportunities for professional growth.
- The chance to work on innovative projects that impact the organization.
- Collaborative team culture focused on knowledge sharing and continuous improvement.
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.