Data Engineer

Responsibilities

• Contribute to the design and development of scalable data pipelines on AWS
• Build and optimize batch and streaming ingestion pipelines, including CDC-based architectures
• Support the design and implementation of data models aligned with business needs
• Ensure data quality, reliability, and performance across pipelines and datasets
• Collaborate with cross-functional teams to align technical solutions with business requirements
• Apply best practices in data engineering, including modular design and governance
• Leverage AI-assisted development tools to improve productivity
• Proactively identify risks, bottlenecks, and optimization opportunities

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or equivalent
• Hands-on experience with AWS ecosystem (Glue, S3, Athena, Step Functions)
• Proficiency in Python and PySpark
• 3+ years of experience in Data Engineering or related disciplines
• Advanced English proficiency

Preferred Qualifications

• Experience with Snowflake or similar cloud data warehouse platforms
• Understanding of data pipeline architecture and design patterns
• Exposure to CDC (Change Data Capture) patterns and streaming ingestion
• Experience with data modeling for analytics and reporting
• Familiarity with AI-assisted development tools

Benefits

• At-home medical assistance via EMI
• Savings incentive program with company contributions
• Forgivable education loans
• Family Day and academic graduation time off