Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

The Planning and Analysis - Data Platform Team is at the forefront of managing and optimizing finance-related data. We focus on effective data lake utilization, data governance, and seamless data integration through advanced ETL processes. Our goal is to deliver high-quality, timely data in a controlled manner, reducing risk and cost. We are looking for a Senior Application Engineer skilled in AWS, event-promoten architecture, RESTful API design, and modern application development, with expertise in Python frameworks, database management, and Databricks for data engineering.

Key Responsibilities

• Architect, build, and maintain scalable applications on AWS using event-driven patterns (e.g., Lambda, SNS/SQS, EventBridge).
• Create robust RESTful APIs using Python frameworks such as FastAPI and Django, ensuring high performance and security.
• Design, implement, and optimize operational databases, primarily PostgreSQL, including schema design, indexing, and query optimization.
• Collaborate with data teams to integrate applications with Databricks, supporting ETL pipelines, data processing, and analytics workflows.
• Participate in the full software development lifecycle, including requirements gathering, design, coding, testing, deployment, and maintenance.
• Implement CI/CD pipelines, automate deployments, and monitor application health using AWS-native and third-party tools.
• Work closely with cross-functional teams (product, data, infrastructure) and document technical solutions, architecture, and best practices.

Required qualifications, capabilities and skills

• Proven experience with AWS services (EC2, Lambda, S3, RDS, SNS/SQS, EventBridge, IAM, CloudFormation).
• Strong understanding and practical experience designing event-driven systems and microservices.
• Deep knowledge of REST principles and hands-on experience building APIs with FastAPI and Django.
• Advanced proficiency in Python, with experience in application engineering and scripting.
• Solid experience with PostgreSQL, including performance tuning and operational management.
• Good understanding of Databricks platform, Spark, and data engineering concepts.
• Experience with CI/CD, infrastructure as code, and application monitoring.
• Excellent problem-solving, communication, and teamwork abilities.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies