Data Engineer

Role Overview

The Data Engineer will design, build, and maintain scalable data systems that power analytics and AI initiatives across the organization. This role ensures reliable, high-quality data flows and storage solutions that enable faster insights, better decision-making, and innovation at scale.

Responsibilities

• Design and develop scalable data pipelines to ingest, transform, and deliver data from multiple sources.
• Build and maintain robust storage solutions and data architectures that support analytics and AI use cases.
• Implement data-flow systems and orchestration processes to ensure reliable, timely, and efficient data movement.
• Collaborate with data scientists, analysts, and software engineers to support business and product requirements.
• Optimize data models, queries, and processing workflows for performance, scalability, and cost efficiency.
• Ensure data quality, consistency, security, and governance across large-scale data systems.
• Monitor, troubleshoot, and resolve issues in production data pipelines and related infrastructure.
• Document data architectures, pipeline logic, and operational procedures for cross-functional use.

Qualifications