About this role
The team is seeking a Senior Data Engineer to join their remote team. The ideal candidate will have strong expertise in Databricks and modern data engineering technologies. You will be responsible for building scalable data pipelines, processing large datasets, and optimizing data platforms to ensure efficient data management and accessibility.
Key Responsibilities:
- Design and implement scalable data pipelines using Databricks.
- Process and analyze large datasets to derive actionable insights.
- Optimize existing data platforms for improved performance and efficiency.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Ensure data quality and integrity throughout the data lifecycle.
Required Skills & Qualifications:
- Strong experience with Databricks and PySpark.
- Proficiency in data modeling and ETL processes.
- Familiarity with cloud platforms and data storage solutions.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and in a team-oriented environment.
Experience:
- Minimum of 5 years of experience in data engineering or related fields.
What we offer:
- A fully remote work environment.
- Opportunities for professional growth and development.
- A collaborative and innovative team culture.
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.