Data Engineer

About the Role:

• Define, build, and mature data pipelines, models, and warehouse solutions.
• Contribute to overall data architecture decisions and lead implementation of data platform improvements.

Responsibilities:

• Build and maintain robust ETL pipelines with focus on production stability, performance optimization, and incident resolution.
• Develop data transformation, validation, and quality monitoring processes.
• Establish data quality frameworks with monitoring, alerting, and remediation.

Requirements:

• 3+ years experience building production data pipelines and working with modern data stack tools.
• 3+ years implementing and maintaining data warehouses and dimensional data models.
• Strong SQL and Python skills, plus experience with workflow orchestration and data governance.

Preferred Experience:

• Geospatial data, large-scale datasets, web scraping, ML/AI infrastructure, and JavaScript familiarity.
• Collaboration with data scientists, analysts, and engineering teams.