About this role
Our client is seeking an experienced Senior Databricks Engineer to design, build, and optimize scalable data solutions on the Databricks platform. The ideal candidate will possess strong expertise in data engineering, Spark, SQL, and Python/Scala, along with experience in cloud-based data platforms.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and analytics solutions.
- Collaborate with data architects, analysts, and business teams to understand data requirements and deliver reliable, high-performance solutions.
- Optimize existing data workflows for efficiency and scalability.
- Implement best practices for data governance, security, and compliance.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay updated with the latest trends and technologies in data engineering and analytics.
Required Skills & Qualifications:
- Proficiency in Databricks, Apache Spark, SQL, and Python/Scala.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong understanding of data modeling, ETL processes, and data warehousing concepts.
- Excellent problem-solving skills and attention to detail.
- Ability to work effectively in a collaborative team environment.
Experience:
- Minimum of 5-8 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work on cutting-edge technologies and projects.
- A collaborative and innovative work environment.
- Professional development and growth opportunities.
This role is managed by AI-First Talent on behalf of our client. Your application is reviewed directly by our talent team.