Databricks Engineer

We offer a competitive salary, comprehensive benefits package and a dynamic work environment where you will have the opportunity to work with cutting-edge technologies and make a significant impact on our company's data strategy. If you are a Databricks expert with a passion for data and analytics, we would love to hear from you.

Job Title: Databricks Engineer

Position Overview: We are seeking a highly skilled and experienced Databricks Engineer to join our dynamic team. As a Databricks Engineer, you will be responsible for designing, developing, and maintaining our Databricks platform to support our company's data and analytics needs. This role requires a deep understanding of Databricks architecture and the ability to work with large datasets to deliver efficient and reliable solutions.

Key Responsibilities:

• Design, develop and maintain highly scalable and performant Databricks platform
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Implement data ingestion processes and pipelines from various data sources into Databricks
• Optimize and tune Databricks clusters for efficient data processing and analytics
• Troubleshoot and resolve complex issues related to Databricks platform and data pipelines
• Develop and maintain documentation of Databricks platform architecture, processes and procedures
• Stay updated with the latest Databricks features and integrations and recommend their implementation to improve our platform
• Ensure data security and compliance standards are met throughout the Databricks platform
• Mentor and provide technical guidance to junior team members

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering or a related field
• Minimum of 3 years of experience working as a Databricks Engineer or in a similar role
• Extensive experience with Databricks architecture and components such as clusters, jobs, notebooks, libraries, etc.
• Strong understanding of data warehousing concepts and experience with relational and NoSQL databases
• Hands-on experience with programming languages like Python, Scala, or Java
• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud
• Knowledge of SQL and query optimization techniques
• Excellent problem-solving and troubleshooting skills
• Ability to work independently and in a team environment
• Strong communication and collaboration skills
• Relevant certifications in Databricks or cloud platforms are a plus

Join our team and be a part of our exciting journey towards data-driven success!.