About this role
The team is seeking a skilled and motivated Databricks Engineer to design, develop, and optimize scalable data solutions on the Databricks platform. The ideal candidate will have strong expertise in Apache Spark, Databricks architecture, ETL development, and modern data lakehouse concepts.
Key Responsibilities:
- Design and implement data pipelines using Databricks and Apache Spark.
- Optimize existing data workflows for performance and scalability.
- Collaborate with data scientists and analysts to understand data requirements.
- Develop and maintain ETL processes to ensure data quality and integrity.
- Implement best practices for data governance and security within the data lakehouse environment.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5-8 years of experience in data engineering or related roles.
- Strong proficiency in Apache Spark and Databricks.
- Experience with ETL tools and data modeling.
- Familiarity with cloud platforms such as AWS or Azure.
- Knowledge of SQL and data warehousing concepts.
What we offer:
- A dynamic work environment with opportunities for professional growth.
- The chance to work on innovative projects using cutting-edge technology.
- A hybrid work model that promotes work-life balance.
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.