About this role
The team is seeking an experienced Data Engineer with strong hands-on expertise in Databricks, PySpark, SQL, and Snowflake. The successful candidate will be responsible for designing, developing, optimizing, and maintaining scalable data engineering solutions.
Key Responsibilities:
- Design and implement data pipelines to process large datasets efficiently.
- Optimize existing data workflows and ensure high performance and reliability.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Work with cloud-based data platforms to manage and analyze data.
- Utilize Databricks Genie and Snowflake CoCo for advanced data processing tasks, if applicable.
Required Skills & Qualifications:
- Strong proficiency in Databricks, PySpark, and SQL.
- Experience with Snowflake and cloud-based data solutions.
- Proven ability to build and optimize data pipelines.
- Solid understanding of data engineering principles and best practices.
- Excellent problem-solving skills and attention to detail.
Experience:
- Minimum of 5-8 years of relevant experience in data engineering or related fields.
What we offer:
- Opportunity to work on cutting-edge data technologies.
- Collaborative and innovative work environment.
- Professional development and career growth opportunities.
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.