As a Data Platform Engineer, you will play a key role in shaping our data landscape. This involves developing and enhancing the data platform blueprint and design, ensuring seamless integration across diverse systems and data models through close collaboration with Integration and Data Architects. A proactive approach to aligning platform components with organizational objectives and fostering effective team communication is essential. Your contributions will be vital in supporting our overall data infrastructure strategy for efficient data management and utilization.

- Independently perform tasks and develop expertise to become a subject matter expert. - Actively participate and contribute to team discussions and problem-solving. - Collaborate with cross-functional teams to align data platform components with business needs. - Assist in troubleshooting and resolving technical challenges related to data platform integration. - Identify opportunities for optimization in data workflows and platform performance to drive continuous improvement. - Document processes and best practices for knowledge sharing within the team.

- A minimum of 3 years of professional experience is required. - Demonstrated proficiency in the Databricks Unified Data Analytics Platform is essential. - Experience with cloud-based data processing and storage solutions is expected. - A strong understanding of data integration techniques and data modeling concepts is necessary. - Familiarity with scripting and automation for streamlining data workflows is beneficial. - Ability to work with large datasets and optimize data pipelines is crucial. - A 15-year full-time education is a mandatory requirement.