About this role
The team is seeking an experienced Azure Data Engineer to join their dynamic team. The ideal candidate will have a strong background in developing and implementing data solutions using Azure components. This role requires a deep understanding of the data lifecycle, including ingestion, transformation, serving, and consumption of data.
Key Responsibilities:
- Develop and maintain data solutions using Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Azure Synapse.
- Design and implement a unified data platform that covers all aspects of the data lifecycle.
- Utilize Pyspark and Spark SQL for data processing and transformation tasks.
- Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
- Ensure data quality and integrity throughout the data pipeline.
- Implement best practices for data engineering and maintain documentation for all processes.
Required Skills & Qualifications:
- Strong experience with Azure data components and services.
- Proficient in Pyspark and Spark SQL with excellent coding skills.
- Solid understanding of SQL and data engineering principles.
- Proven experience in designing and implementing end-to-end data projects, preferably in Databricks.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a team environment.
Experience:
- Minimum of 5-8 years in the Data Engineering domain, with a focus on Azure technologies.
What we offer:
- An opportunity to work with cutting-edge technologies in a collaborative environment.
- Professional development and growth opportunities.
- A supportive team culture that values innovation and creativity.
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.