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 technologiesExposure to cloud technologies