About this role
The team is seeking a skilled Data Engineer to effectively design, develop, and manage data solutions using ETL technologies such as Azure Databricks (ADB), Azure Data Factory (ADF), and SQL. In this role, you will play a crucial part in transforming business requirements into technical solutions while collaborating closely with the PMO team.
Key Responsibilities:
- Translate business requirements into technical solutions in collaboration with the PMO team.
- Own end-to-end delivery of data projects, ensuring on-time execution and adherence to quality standards.
- Design technical architecture and guide development efforts for enhancements and new projects.
- Implement ETL processes to ensure data integrity and accessibility.
- Monitor and optimize data pipelines for performance and efficiency.
- Collaborate with cross-functional teams to ensure alignment and integration of data solutions.
Required Skills & Qualifications:
- Proficiency in Azure Databricks and Azure Data Factory.
- Strong SQL skills for data manipulation and query optimization.
- Experience with data warehousing concepts and practices.
- Ability to work with large datasets and complex data structures.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to convey technical concepts to non-technical stakeholders.
Experience:
- 5-8 years of experience in data engineering or related fields.
What we offer:
The team provides a dynamic work environment, opportunities for professional growth, and the chance to work on innovative data solutions that drive business success.
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.