Data Engineer

📋 Description

• Design and implement scalable data pipelines on AWS (Glue, S3, Athena, Step Functions)
• Build and optimize batch and streaming ingestion pipelines (CDC-based)
• Design data models aligned with business and analytics needs
• Ensure data quality, reliability, and performance across pipelines
• Collaborate with cross-functional teams to align solutions with business needs
• Apply best practices in modular design, governance, and reusable code

🎯 Requirements

• Design AI/automation POCs for order intake workflows
• Validate outputs for processed order packages
• Generate structured outputs for downstream systems (CSV/JSON)
• Create or simulate document workflows (SharePoint routing/logs)
• Produce validation reports with accuracy metrics and exception handling
• Assess performance and provide go/no-go recommendations

🎁 Benefits

• Health coverage: EMI-based home medical assistance
• Private healthcare plans for Lead-level roles and above
• Christmas kit delivered to all employees
• One day off for academic graduation
• Family Day: one day off each semester
• Savings program with company contributions