• Leverage advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials. • Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy, utilizing SAS programming • Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs) • Production and QC / validation programming • Generating complex ad-hoc reports utilizing raw data • Applying strong understanding/experience of Efficacy analysis • Creating and reviewing submission documents and eCRTs • Communicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries • Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc. • Being adaptable and flexible when priorities change

• Profesional responsable de apoyar en el desarrollo, implementación y mantenimiento de integraciones entre sistemas y aplicaciones, asegurando la correcta comunicación y transferencia de datos. • Colabora con equipos de desarrollo, QA y operaciones para implementar soluciones de integración eficientes y alineadas con los requerimientos del negocio. • Participa en la documentación técnica, pruebas y resolución de incidencias, aprendiendo y aplicando buenas prácticas de integración y desarrollo de software bajo la supervisión de líderes técnicos. • Analizar requisitos de negocio y técnicos para definir flujos de integración. • Diseñar APIs y contratos claros y versionados. • Implementar soluciones robustas con manejo de errores, retries, idempotencia y compensaciones. • Documentar integraciones y ofrecer ejemplos/SDKs si procede. • Participar en code reviews y establecer buenas prácticas. • Colaborar con infra/DevOps para despliegues y monitoreo. • Asegurar performance y escalabilidad de las integraciones. • Mantener y mejorar integraciones existentes (soporte de segundo nivel). • Asegurar cumplimiento de guías de seguridad y normativas (p. ej. GDPR si aplica).

Role Description We are seeking an experienced Senior Java Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate should have strong expertise in Java, along with Python, SQL, cloud technologies, and modern data engineering frameworks to build high-performance, enterprise-grade data solutions. Key Responsibilities - Design, develop, and maintain scalable data pipelines and backend data processing applications using Java. - Develop robust data ingestion frameworks, APIs, and microservices for large-scale data integration. - Utilize Python for automation, scripting, and data transformation where required. - Build and optimize batch and real-time data processing solutions. - Work with structured, semi-structured, and unstructured data sources. - Design and optimize data models for analytics and reporting. - Develop data quality, validation, and monitoring frameworks. - Write and optimize complex SQL queries for high-performance data processing. - Collaborate with Data Engineers, Business Analysts, Product Owners, and Engineering teams to deliver scalable solutions. - Participate in architecture discussions and provide technical leadership and best practices. - Troubleshoot production issues and implement performance improvements. Qualifications - 6+ years of software engineering or data engineering experience. - Strong programming expertise in Java (Core Java, Java 8+, Collections, Multithreading). - Good knowledge of Python for scripting, automation, and data engineering tasks. - Advanced SQL skills with experience in query optimization and database performance tuning. - Experience building RESTful APIs and backend services. - Good understanding of data engineering concepts. - Strong understanding of data modeling, data warehousing, and metadata management. - Good debugging, analytical, and problem-solving skills. - Knowledge of cloud platforms is preferred. - Experience in the Financial Services or Banking domain is preferred. Benefits - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

Role Description We are seeking a Principal Software Engineer to lead the architecture and development of our Platform and Identity or Business Intelligence and data platform teams. This role requires deep expertise in AWS, full stack Java and Python development, data management, identity standards, and a proven track record of building enterprise-scale software as a service solutions. As a Principal Engineer, you will be a technical leader and strategic advisor, driving architectural decisions that impact millions of users globally. Candidate must be located in Ontario or British Columbia. What you'll be doing: - Architect and develop large-scale, mission-critical platform services for millions of users across the globe, leveraging AWS native technologies including Lambda, ECS/EKS, Athena, RDS, Redshift, Glue, and S3 using common Java and Python frameworks and libraries. - Build and maintain sophisticated back-end services and related front-end applications using Java, Python, React, and related modern web technologies. - Develop and maintain Identity and Platform related REST APIs with event-driven architectures to enable seamless integration between platform services, analytics tools, and customer-facing applications. - Lead the design and implementation of robust data pipelines, data lakes, and data warehouses using modern architectures (Iceberg, Parquet, columnar formats) to support real-time and batch analytics at scale. - Drive technical strategy and architectural decisions for the Platform, including query optimization, performance tuning, and cost optimization across AWS services. - Design and implement efficient data storage solutions across relational databases (SQL Server, Redshift, PostgreSQL) and non-relational databases (DynamoDB, S3), ensuring optimal performance and cost-efficiency. - Serve as the technical lead and mentor for engineering teams, conducting architecture reviews, code reviews, and providing guidance on complex technical challenges. - Collaborate with cross-functional teams including data engineers, analytics engineers, product managers, and DevOps to deliver innovative Platform, Identity and BI solutions that drive business value. - Champion engineering excellence by establishing best practices, design patterns, and coding standards for data-intensive applications. - Evaluate and integrate emerging AWS services and open-source technologies to continuously improve platform capabilities and developer productivity. - Troubleshoot and resolve complex performance issues in distributed data systems, optimizing query performance, data processing workflows, and infrastructure costs. - Participate in strategic planning and roadmap development, translating business requirements into scalable technical solutions. - Contribute to the team on-call rotation, providing expert-level support for production environments and mentoring team members on incident response. Qualifications - 10+ years of professional experience in software development, with at least 5 years focused on service-based architectures, business intelligence, or identity and application platforms in enterprise SaaS environments. - Deep expertise in AWS data and analytics services including Athena, Redshift, Glue, S3, QuickSight, Lake Formation, with hands-on experience architecting and operating production workloads. - Advanced proficiency in Python for backend services, data processing, or ETL/ELT development, with strong knowledge of frameworks such as FastAPI, Flask, or similar. - Similar proficiency with Java for backend services using Spring Boot or other similar frameworks. - Experience with Identity management standards including SAML, OIDC and related platforms and architectural patterns. - Expert-level SQL skills including complex query optimization, window functions, CTEs, and performance tuning across multiple database engines (Redshift, PostgreSQL, Athena). - Strong full-stack development capabilities with proficiency in React, JavaScript/TypeScript, and modern front-end frameworks for building application UIs and/or analytics dashboards and data visualization interfaces. - Strong, in-depth experience with AI coding assistants such as GitHub Copilot, Cursor, and Windsurf to accelerate development and improve code quality. - Experience with both relational databases (Redshift, PostgreSQL, SQL Server, Aurora) and non-relational databases (DynamoDB, OpenSearch, DocumentDB). - Demonstrated ability to design and implement scalable event-driven architectures (Lambda, EventBridge, SQS, SNS), and microservices patterns. - Experience with AWS CDK (Cloud Development Kit) or CloudFormation/Terraform for infrastructure-as-code and automated deployment pipelines. - Proven track record of leading technical initiatives, mentoring senior engineers, and driving architectural decisions in complex distributed systems. - Experience with CI/CD pipelines, automated testing frameworks (pytest, Playwright), and DevOps tools (e.g. Datadog, Dynatrace) and practices for SAAS platforms. - Excellent problem-solving skills with the ability to troubleshoot complex issues in large-scale, distributed data systems. - Strong understanding of software development lifecycle (SDLC), Agile methodology, and experience leading technical teams through the full development lifecycle. - Outstanding communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. - Adaptable with the ability to switch technical stacks and domains to respond to changing customer and business needs while maintaining strategic focus. Preferred Qualifications - Experience integrating applications with common Identity and Access Management platforms and tools (e.g. Ping, Auth0, Okta) in a multi-tenant enterprise SAAS solution. - Experience with Apache Iceberg, Parquet, or similar columnar formats and modern data lake architectures. - Understanding of data modelling techniques for both OLTP and OLAP workloads, including dimensional modelling, star/snowflake schemas, and denormalization strategies. - Familiarity with machine learning workflows and integration of ML models into data pipelines. - Experience with real-time streaming data processing using Kinesis, Kafka, or similar technologies. - Contributions to open-source projects or technical thought leadership (blog posts, conference talks, patents). - Experience with multi-cloud or hybrid cloud architectures. Benefits - Global team recognized for their passion and innovation. - Innovative product culture and project exposure. - Training and development from industry-leading experts. - Cutting edge benefit programs that include: medical and dental insurance, disability and life insurance, flexible PTO, paid holidays and parental leave, and more. - Market competitive pay and benefits based upon the candidate’s skills, experience, and qualifications. Starting rate of pay for this salaried position is targeted at $120,000.