We are seeking a Senior Data Engineer to design, build, and optimize scalable data solutions that power critical business operations and client initiatives. This role requires deep expertise in SQL, Python, and enterprise-scale ETL development, with strong experience supporting cloud-based data platforms and migration efforts.

You’ll collaborate with cross-functional teams to develop high-performing data pipelines, ensure data reliability, and contribute to engineering best practices across the data ecosystem.

Responsibilities

• Design, develop, and maintain scalable ETL pipelines for structured and unstructured data
• Build reliable, efficient data solutions using advanced SQL and Python
• Support cloud migration initiatives, including data mapping, transformation, validation, and performance optimization
• Work closely with product, analytics, and engineering teams to improve data quality, accessibility, and platform efficiency
• Contribute to best practices in data engineering, including documentation, testing, versioning, and deployment
• Troubleshoot pipeline issues and ensure data accuracy and integrity across environments

Required Qualifications

• Proven experience as a Data Engineer building and delivering production-grade data solutions
• Advanced SQL and Python capabilities with experience handling complex data sets and workflows
• Hands-on experience building and maintaining enterprise ETL processes
• Experience supporting or migrating to cloud data platforms
• Strong communication, collaboration, and problem-solving skills
• Ability to work in fast-paced, structured environments