BAO Systems is hiring a
AWS Cloud Engineer

Summary

BAO Systems is seeking an experienced AWS Cloud Engineer to support the design and implementation of a modern data platform for a global child health project. The role involves developing serverless applications on AWS, implementing ETL workflows, optimizing performance, collaborating with subject matter experts, and more.

Requirements

• College degree + 6 years relevant experience
• Experience with AWS services, particularly Cloudformation, Lambda (Python), Step Functions, Glue, DynamoDB, S3, Cloudwatch, SNS/SQS, and API Gateway
• Proficiency in serverless application development using AWS SAM (Serverless Application Model)
• Solid understanding of data processing concepts and experience with ETL workflows, including processing data from various sources (APIs, files, relational databases)
• Strong knowledge of using Python for creating data processing services
• Strong understanding of XML/JSON and data-interchange formats
• Familiarity with DevOps practices and tools, automation, and infrastructure as code
• Experience working with relational databases and writing complex SQL queries
• Strong problem-solving and troubleshooting skills
• Excellent communication and collaboration abilities
• Proficient with SDLC processes and working in an agile environment
• Strong working knowledge of git, GitHub, and distributed version control systems

Responsibilities

• Develop serverless applications on AWS using services such as AWS Cloudformation, Lambda (Python), Step Functions, Glue, and API Gateway
• Implement configuration-based data and metadata processing pipelines and ETL workflows to handle extraction, validation, and transformation of large-scale data sets
• Optimize and fine-tune serverless applications for performance, scalability, and cost efficiency
• Ensure high availability and reliability of cloud-based systems through effective monitoring and troubleshooting
• Adhere to defined design patterns and best practices for microservice-based serverless application development
• Work with relational databases and SQL to load, manage, and query data effectively
• Collaborate with subject matter experts and assist in defining and documenting data processing requirements that meet business needs
• Conduct in-depth analysis and gain complete understanding of data schemas, validation and quality rules, and transformation algorithms
• Support QA in understanding data processing workloads and assist in creating sample data sets to support the full acceptance testing process
• Implement and maintain unit and integration tests
• Create API endpoints to support efficient data retrieval and manipulation