Senior Data Engineer

📋 Description

• Design scalable data architectures, pipelines, integrations, and models for analytics.
• Build/maintain batch and real-time data pipelines.
• Develop data integrations, APIs, streaming solutions, and workflows.
• Cleanse, standardize, map, and transform data from multiple sources.
• Validate data quality with automated testing.
• Monitor/optimize pipelines and troubleshoot production issues.

🎯 Requirements

• Experience in data engineering with large-scale environments and mission-critical systems.
• Experience with modern data architectures: data warehouses, lakes, and data mesh.
• Strong understanding of data modeling principles, architecture patterns, and analytics platform design.
• Experience developing and maintaining complex data pipelines, integrations, and data processing solutions.
• Knowledge of business intelligence, analytics, reporting, and application integration practices.
• Strong coding skills and understanding of software development standards and design principles.
• Experience working with Agile development methodologies and Lean Startup practices.
• Ability to manage ambiguity, prioritize, and deliver with limited information.

🎁 Benefits

• Full-time employment opportunity with flexibility to work remotely and/or from an office environment.
• Opportunity to work on large-scale data platforms and innovative digital initiatives.
• Professional development opportunities and exposure to emerging technologies.
• Collaborative culture with engineers, analytics, and product teams.
• Opportunity to contribute to data solutions that directly influence business strategy and operations.
• Flexible work arrangements designed to support productivity and work-life balance.