Senior Integration Engineer - Lima, Peru

Job Description

Job Description

Description:

Job Summary

We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives. Stellus Rx improves ease and outcomes in every moment that matters, along every health journey.

Join our group of talented, committed team members-pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible. The Senior Integration Engineer for Stellus Rx will help our communities thrive as a key member of the Technology Team . You will work closely with Stellus Rx leaders and across the organization, as we work collaboratively to unlock the health of millions of Americans by turning "use as prescribed" into a guarantee, not a direction. We are a culture that is unabashedly driven by purpose. We are making a difference to our patients and team members while growing at an accelerated rate.

The Senior Integration Engineer designs and implements integration solutions for data from APIs/Events/Batch based systems.

Accountabilities:

• The Senior Integration Engineer supports various projects, identifies business needs, and proposes IT solutions to existing components and ensures that final solutions meet organizational needs.
• Develops and implements solutions that integrate data across the enterprise by evaluating existing components or systems to determine integration requirements and ensures that final solutions meet the organization's needs.
• Knowledge of the latest integration solutions and problem-solving methods using creativity, customer service, and teamwork.

Role and Responsibilities:

• Design, development, and maintenance of metadata driven data pipeline automation framework(s) for batch, event, and streaming data in cloud native environment.
• Perform deep-dive analysis to understand and solve integration needs between data sources and applications
• Build integration solutions based on principles of reusability, security, scalability, and quality
• Collaborate and communicate with the broader Engineering and Product Teams
• Embrace modern technologies and work with various tools and technologies to achieve desired functionality
• Participate in code and architectural reviews
• Rapid prototyping and presenting proof of concepts for key technology decisions to collaborators and other technology leaders
• Build end to end data pipelines from source to target ensuring data quality, consistency and observability using DataOps principles
• Utilize IT documents, charts, and drawings as tools to enhance, document, and control integration and interface information.

Qualifications and Requirements:

• Bachelor's degree in Computer Science or equivalent
• 3+ years of deep hands-on experience with multiple integration solutions and architectures, integration and API engineering, cloud technologies, and data modeling
• 1+ years of hand on experience in metadata management, metadata driven automation and developer efficiency tooling
• 1+ years of cloud native data solutions enabling Analytics, Operational, Data Science and ML use cases
• 1+ year event-driven and streaming solutions in cloud native environment
• 2+ years with advanced SQL and scripting (python/bash etc.) development
• Demonstrable track record of shipping and supporting high-performing and secure SaaS web applications and 3rd party integration
• Understanding of Web Services protocols such as REST, GraphQL and API design for extensibility and portability.
• 1+ year of hand on cloud expertise (preferably AWS) with strong understanding of SaaS models
• Knowledge in engineering practices such as code refactoring, design patterns, design driven development, continuous integration, building highly scalable applications and security.
• High proficiency in English

Preferred Experience:

• Master's degree or higher in Computer Science, Mathematics, Statistics, or similar analytical field
• Health care and pharmaceutical experience
• Experience working/collaborating with Master Data Management, Metadata Management and Data Governance
• Experience working with AWS Glue (PySpark) and Snowflake