Data Platform Engineer

Role Overview

As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design. This role requires close collaboration with Integration Architects and Data Architects to ensure seamless integration across various systems and data models. The position demands a proactive approach to aligning platform components with project requirements, fostering effective communication among team members, and supporting the overall architecture strategy to enable efficient data management and utilization.

Responsibilities

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with cross-functional teams to ensure alignment of data platform components with business needs.
• Assist in troubleshooting and resolving technical issues related to the data platform.
• Support junior team members by sharing knowledge and best practices.
• Continuously monitor and optimize platform performance to meet evolving project demands.

Requirements

• Minimum 5 years of total experience.
• Minimum 3 years of experience in Databricks Unified Data Analytics Platform.
• 15 years of full-time education.
• Experience with data pipeline development and management within cloud environments.
• Strong understanding of data integration techniques and best practices.
• Familiarity with distributed computing frameworks and big data processing.
• Ability to work with complex data models and ensure data quality and consistency.
• Knowledge of scripting and automation to streamline data workflows.

Skills

• Databricks Unified Data Analytics Platform
• Cloud Computing
• Data Pipelines
• Distributed Computing
• Big Data Processing