Databricks Engineer – Architect

📋 Description

• Design, construct, and stabilize data pipelines based on Databricks.

• Optimize and enhance the performance of data pipelines in production.

• Create and maintain solutions for reporting and data visualization.

• Apply best practices for enhancing performance, scalability, and cost efficiency.

• Engage in the complete data workflow process (ingestion → transformation → reporting).

• Detect and address performance issues and system inefficiencies.

• Introduce structure and consistency to a dynamic Databricks environment.

• Collaborate with cross-functional teams to enhance platform reliability and return on investment.

⛳️ Requirements

• Strong hands-on experience with Databricks (essential).

• Background in developing data pipelines (ETL/ELT).

• Comprehensive understanding of data engineering and architecture principles.

• Experience with large-scale data processing systems.

• Familiarity with reporting/BI tools (Power BI, Tableau, or similar).

• Capability to thrive in fast-paced, dynamic environments with minimal supervision.

🏝️ Benefits

• n/a