Senior AWS Data Engineer

• Develops, documents, and configures systems specifications that conform to defined architecture standards and address business requirements.
• Involved in planning of system and development deployment and responsible for meeting compliance and security standards.
• API development using AWS services in a scalable, microservices based architecture.
• Identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality to maintain effective data handling and integrity.
• Documents testing and maintenance of system updates, modifications, and configurations.
• Acts as a liaison with key technology vendor technologists or other business functions.
• Strategically designs technology solutions that meet the needs and goals of the organization and its users.
• Leverages platform process expertise to assess if standard platform functionality solves business problems or if customization is required.
• Tests the quality of a product and its ability to perform a task or solve a problem.
• Performs basic maintenance and performance optimization procedures in primary operating systems.
• Documents detailed technical system specifications based on business system requirements.
• Ensures system implementation compliance with global and local regulatory and security standards.

• 5+ years of experience in Data Engineering with advanced Python skills.
• Working experience with AWS data technologies, including S3.
• Experience with JSON, XML and other relevant data formats.
• Experience setting up and managing CI/CD pipelines using GitLab CI, Jenkins, or similar tools.
• Experience in scripting languages such as Python or PowerShell.
• Familiarity with monitoring and logging tools like CloudWatch, ELK, Dynatrace, or Prometheus.
• Expertise with git commands and associated VCS such as GitLab, GitHub, or Gitea.
• Experience with markdown and Antora for creating technical documentation., * Previous experience with integration engines such as Intersystems, Lyniate, Redox, or Mirth Connect.
• Previous Healthcare or Medical Device industry experience.
• Experience with data technologies such as Snowflake or Trino/Starburst.
• Experience working with Healthcare Data, including HL7v2, FHIR and DICOM.
• FHIR and/or HL7 Certifications.
• Experience building software classified as Software as a Medical Device (SaMD).
• Understanding of EHR technologies such as EPIC or Cerner.
• Experience implementing enterprise grade cyber security and privacy by design into software products.
• Experience working in Digital Health software.
• Experience developing global applications.
• Strong understanding of SDLC Waterfall and Agile methodologies.
• Software estimation experience.
• Experience leading software development teams onshore and offshore.

Skills:

• AWS.
• Python.
• JSON.
• S3.
• XML.
• CI/CD.
• GitLab CI.
• Jenkins.
• PowerShell.
• CloudWatch.
• ELK.
• Dynatrace.
• Prometheus.
• Git.
• Markdown.
• Antora.
• Microservices.
• API Development.

Qualification And Education:

• 5+ years of experience in Data Engineering.
• Advanced Python proficiency.