• Cloud Development: Develop and implement cloud-based backend applications and architectures. • API Integration: Build REST APIs and manage integrations with third-party service providers. • Data Pipelines: Design and deploy robust ETL/ELT pipelines using Python and Node.js. • AWS Management: Optimize data infrastructure and workflows within AWS. • Quality Assurance: Ensure high standards through rigorous testing, code versioning, and CI/CD best practices. • Continuous Improvement: Implement industry-standard tools and "value-added" best practices to enhance system performance.

• Deliver data solution architecture for clients (data lakes, cloud data warehouses, data enhancement via machine learning APIs) • Be part of a team on larger scale deployment and deployments • Lead in the development and implementations of the company’s data engineering solutions on Azure • Undertake hands-on development for client projects • Provide guidance and demonstrate best practices when delivering solutions • Understand and utilise modern data platforms (cloud or on-premises) • Create and design compelling architectural blueprints to deliver value to our clients • Implement data engineering and machine learning solutions on the Azure technology stack • Identify and propose development and architectural improvements to existing systems • Participate in planning meetings as required

• Become a trusted advisor working together with our clients • Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries • Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs • Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications • Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD • Support the deployment of data science and ML projects into production

• Works as a positive team member of a project that may consist of Business Analysts, Project Managers, Information Architects, Data Analysts, and/or Database Administrators to deliver quality applications and components within scope, on time, within budget, and ensures compliance. • Manages workload effectively and report status of tasks in a timely manner. • Is able to guide stakeholders on solutions and support structure. • Ensures proper governance of prioritizing work from partners. • Forms tactical strategies to support multiple clients. • Leads and proactively identifies emerging technologies; develops proof-of-concepts, and promotes the usage of these emerging technologies. • Leads small to medium size technical teams, and mentors other analysts on regulation adherence. • Follows standard operational procedures and HIPAA regulations. • Develops strategies for managing complex data sets through maintaining data standards and metadata. • Applies biomedical informatics technical standards, methodologies, and principles to research-specific program needs, objectives, and outcomes. • Develops reporting infrastructure to meet multiple client needs. • Generates standard templates for architecture documentation related to current and proposed informatic solutions. • Performs other related duties as required.