Data Engineer

Key details

• Design, build, and maintain scalable Python Flask API applications or similar programming languages to achieve low latency response
• Develop batch and stream data ingestion and applications leveraging SQL databases like PostgreSQL or NoSQL/Redis DB
• Implement REST API endpoints on Kubernetes cluster using API Gateway like KONG
• Ensure API response is reliable, accurate, and delivered in a timely manner
• Write clean, efficient, and well-documented code and test cases using tools like Python, SQL, and Pyspark (optional)
• Understand containerization and Kubernetes deployment using ArgoCD
• Partner with Senior Engineers in code reviews, design discussions, planning sessions and team ceremonies
• Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions
• Translate business questions into engineering tasks and contribute to technical planning
• Participate in code reviews, sprint planning, and retrospectives as part of an agile team
• Monitor applications and troubleshoot issues in a timely, systematic manner
• Implement data quality checks and contribute to observability and testing practices
• Document data sources, transformations, and architecture decisions to support long-term maintainability
• Company mission
• Information not specified