Join our team as a Data Engineer, focusing on designing, developing, and maintaining robust data solutions.

This role is pivotal in enhancing data generation, collection, and processing capabilities. You will be instrumental in creating efficient data pipelines, ensuring high data quality standards, and implementing effective ETL processes for seamless data migration and deployment across systems. The goal is to build a reliable and scalable data infrastructure that supports organizational objectives.

Independently drive projects and become a subject matter expert. Actively participate and contribute to team discussions and problem-solving. Collaborate with cross-functional teams to understand data needs and deliver tailored solutions. Monitor and optimize data workflows for enhanced performance and reliability. Document data processes thoroughly and maintain clear stakeholder communication. Mentor junior team members, sharing knowledge and providing technical assistance.

A minimum of 3 years of experience is required, with a specific focus on Databricks Unified Data Analytics Platform.

Demonstrated proficiency in Databricks Unified Data Analytics Platform and AI Agents & Workflow Integration is essential.

Solid understanding of data pipeline architecture, data ingestion best practices, and transformation techniques. Experience with cloud-based data platforms and scalable data processing frameworks. Proven ability to effectively troubleshoot and resolve data quality issues. Familiarity with scripting and automation for streamlining data operations is beneficial. A 15-year full-time education is a prerequisite for this position.