• Developing coding expertise and best practices to query, merge, and analyze complex healthcare data from large relational databases. • Leveraging a variety of quantitative methods to standardize, blend, and distill data from multiple disparate sources, transforming them into analytic insights for use in client reports, journal manuscripts, abstracts, or posters for professional meetings. • Iteratively developing and maintaining Python code while adopting best practices for increasing efficiency, minimizing computational errors, implementing process improvements, and other approaches that add value to business processes and analytic results. • Participating in thorough code review and documentation, as well as parallel coding efforts for other programmers to maintain quality standards and ensure that code may be efficiently transferred among team members as needed. • Constructing analytic datasets and databases to support deliverables for various public health and healthcare financing engagements. • Collaborating with project team members to review, critically evaluate, and refine business requirements, and then translate those requirements into programming logic. • Adopting and refining technical skills on projects, including working independently, proactively resolving day-to-day issues of small complexity, and leveraging coding best practices and standard. • Participating in continuing education courses on healthcare-related and/or technical coding topics (including learning new coding languages) as applicable to the role and evolving business needs. • Sharing insights gained from the above activities with fellow programmers, leaders, and other division staff through activities such as presentations at staff meetings, contributions to collective codebase utilities, and training early career staff.

• Analyze detailed technical specifications, documented requirements, and business rules to determine appropriate data solutions. • Design and maintain robust logical and physical data models that support enterprise analytics, reporting, and operational data needs. • Develop and maintain complex database objects including tables, views, stored procedures, and functions. • Design, develop, and maintain robust ETL pipelines to ingest, transform, and load data from multiple source systems. • Ensure data accuracy and consistency across systems by validating transformations and outputs against defined requirements. • Provide technical guidance related to database development, data modeling, and ETL design. • Support the promotion of database and ETL changes through development, testing, and production environments.

• Provide comprehensive technical support for PHP-based applications, ensuring optimal performance and reliability across our telecom infrastructure. • Work closely with development teams and end-users to diagnose, troubleshoot, and resolve application issues efficiently and systematically. • Analyze existing tools, applications, and scripts to produce clear and structured technical documentation. • Document architecture, integrations, data flows, dependencies, operational procedures, and configuration requirements. • Produce runbooks, support guides, and knowledge transfer materials. • Work closely with engineering teams in Greece and VNO to gather, validate, and refine technical information. • Ensure documentation complies with internal standards and is ready for delivery to centralized platform teams. • Provide daily support for current tools during the transition period. • Perform troubleshooting, bug fixes, and minor enhancements as required. • Maintain and adjust Apache configurations and web server behaviors. • Support API configuration, endpoints, and HTTP method management. • Execute shell commands for operational tasks, health checks, log analysis, and routine maintenance. • Investigate and resolve issues across the entire stack: PHP, JavaScript, MySQL, Apache, and shell scripts.

• Design, develop, test, and implement backend applications and services using Python • Build and maintain APIs and automation components for both application and infrastructure use cases • Collaborate with architects, engineers, and other stakeholders to design scalable and reliable systems • Contribute to improving existing solutions, both on the application and infrastructure level • Participate in discussions around system design, integrations, and platform architecture