Data Engineer Specialist

What you'll do

• Design, build, and support scalable data pipelines for batch and streaming requirements.
• Develop data models and building blocks for reporting, dashboards, and data science research.
• Implement production systems to monitor data quality and ensure information accuracy for stakeholders.
• Build and maintain API integrations and data ingestion frameworks in cloud and hybrid environments.
• Translate business requirements into technical story breakdowns, work estimates, and design specifications.
• Write and execute unit and integration tests to validate data quality and completeness.
• Apply secure software engineering practices to protect data solutions from threats and vulnerabilities.
• Manage code integration and version control using Git principles and CI/CD best practices.

What we're looking for

• Experience architecting data solutions using modern platforms such as AWS, Snowflake, and Databricks.
• Experience with Amazon Web Services (AWS), APIs, and SaaS integrations.
• Experience building batch and event-driven pipelines, data ingestion frameworks, and data quality validation frameworks.
• Experience enabling AI/ML and analytics use cases through scalable data platforms, observability frameworks, and Power BI.
• Familiarity with data governance, metadata management, lineage, and security controls.
• Four to six years of experience with data quality rules, data management standards, and software development.
• One to three years of experience with cloud technology and infrastructure, including security and access management.
• Undergraduate studies in computer science, management information systems, business, statistics, math, or a related field (preferred).