About this role
The team is seeking a skilled ETL Developer to design, build, and optimize scalable data solutions on the Databricks platform. In this role, you will collaborate closely with data engineers, analysts, and business stakeholders to develop high-performing data pipelines, enable advanced analytics, and ensure a secure and reliable data environment.
Key Responsibilities:
- Design and implement ETL processes to extract, transform, and load data from various sources.
- Optimize data pipelines for performance and scalability on the Databricks platform.
- Collaborate with cross-functional teams to identify data requirements and deliver solutions that meet business needs.
- Ensure data quality and integrity throughout the data lifecycle.
- Monitor and troubleshoot data pipeline performance issues.
- Develop and maintain documentation for data processes and workflows.
Required Skills & Qualifications:
- Proficiency in Databricks and experience with ETL tools.
- Strong knowledge of SQL and data modeling techniques.
- Familiarity with data warehousing concepts and best practices.
- Experience with programming languages such as Python or Scala.
- Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
Experience:
- 5-8 years of relevant experience in ETL development and data engineering.
What we offer:
- An opportunity to work in a dynamic and innovative environment.
- Collaboration with a talented team of professionals.
- Opportunities for professional growth and development.
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.