AWS Cloud Engineer

Remote
Full Time
Manager/Supervisor
Title of job
AWS Cloud Engineer

Location of job
Abuja, Nigeria (remote/hybrid)

SUPERVISOR
Director, Informatics

About BAO Systems
BAO Systems is an industry leader in digital data solutions for health and development. We empower our partners to implement scalable and sustainable solutions that uncover data-driven insights to improve livelihoods, strengthen health systems, and achieve equitable human development.
Our team comprises passionate public health and development practitioners, information system experts, software engineers, system engineers, monitoring and evaluation advisors, and data scientists. We excel in providing a broad spectrum of services and products. For more information, please visit www.baosystems.com

Purpose of the Role
We are seeking an experienced AWS Cloud Engineer to support design and implementation of a modern data platform for a global child health project. Through this project, we will transition a legacy on-premise system to a serverless cloud architecture. We will ensure that data are ingested, processed, stored, and made available to a multitude of stakeholders at the country, project, and global levels for evidenced-based decision making.

Core Job 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.

Required Skills/Experience

  • 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.

Classification
Full-Time
 
BAO Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

BAO Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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