• Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform. • Collaborate with the Lead Architect and Cloud Engineer to ensure the seamless integration of data services within the cloud infrastructure. • Develop data models and schemas to support efficient data storage and retrieval. • Implement data quality and validation processes to ensure the accuracy and consistency of data. • Optimize data processes and queries for performance and scalability. • Collaborate with business stakeholders to understand their data requirements and provide insights and solutions for data-driven decision-making. • Work closely with data scientists to provide them with the necessary data and tooling for developing revenue-generating insights and models. • Implement data governance and security controls to ensure data privacy and compliance with regulations. • Stay updated with the latest data technologies and trends and make recommendations for technology adoption and improvements.

¡Se parte del principal partner de AWS en Latinoamérica y ayuda a las empresas más grandes e innovadoras a acelerar su viaje a la nube! ☁️ Somos un grupo de profesionales talentosos y apasionados en tecnologías en la nube, enfocados en el cliente y con capacidad de afrontar cualquier desafío. ¡Queremos que seas parte de nuestro crecimiento! Buscamos un AWS Data Engineer capaz de implementar procesos de ingesta y transformación de datos, así como monitorear, solucionar problemas, optimizar costos y rendimiento, orquestar procesos, gestionar modelos analíticos y garantizar la seguridad y gobernanza en todo el ciclo de vida del dato, siguiendo las mejores prácticas de la industria, en la nube de AWS. Responsabilidades Principales - Ingesta y Transformación de Datos - Diseñar e implementar procesos de ingesta tanto por lotes (batch) como en tiempo real (streaming), dependiendo de la naturaleza del caso de uso, utilizando servicios como Amazon Kinesis, Amazon MSK, AWS Glue, entre otros. - Desarrollar procesos de ETLs ó ELTs, en base a requerimientos del negocio, aplicando conceptos de computación distribuída. - Lectura y transformación de formatos diversos de archivos (CSV, XLSX, JSON, PARQUET, XML, etc.) - Orquestar flujos de trabajo utilizando servicios como AWS Step Functions, Amazon MWAA (Airflow) y AWS Lambda. - Optimizar consultas SQL y código para reducir el tiempo de ejecución, asegurando la concurrencia necesaria, y optimizando costos. - Implementar procesos de extracción de datos provenientes de APIs, así como también de bases de datos relacionales mediante mecanismos FULL y Change Data Capture (CDC). - Gestión de Almacenamiento de Datos - Elegir e implementar el almacén de datos óptimo (ejemplo: Amazon Redshift, DynamoDb, Amazon S3) basándose en patrones de acceso y requisitos de rendimiento. - Diseñar modelos de datos y esquemas, gestionando la evolución de los mismos, utilizando herramientas como AWS Glue Data Catalog. - Gestionar el ciclo de vida de los datos, configurando políticas de retención (S3 Lifecycle) y estrategias de archivado para optimizar costos. - Experiencia con formatos Open Table (Iceberg, Delta Lake y Hudi). Deseable, Iceberg. - Operaciones y Calidad de Datos - Automatizar el procesamiento de datos y solucionar problemas en flujos de trabajo gestionados. - Analizar datos y asegurar su calidad mediante servicios como Amazon Athena y AWS Glue, implementando reglas de validación y limpieza. - Monitorear flujos de trabajo utilizando servicios como Amazon CloudWatch y AWS CloudTrail para rastrear llamadas API, analizar logs y auditar trazabilidad. - Seguridad y Gobernanza - Implementar mecanismos de autenticación y autorización (IAM, Lake Formation, etc.) siguiendo el principio de mínimo privilegio. - Asegurar el cifrado de datos en reposo y en tránsito ( usando AWS KMS) y aplicar técnicas de enmascaramiento de datos sensibles (PII) en aquellos casos donde aplique. - Gestionar la gobernanza y privacidad de los datos, incluyendo el cumplimiento de soberanía de datos y prevención de fugas mediante servicios como AWS Lake Formation. Deseable, conocimiento y familiaridad con SageMaker Unified Studio. - Inteligencia de Negocios: - Creación de Conjuntos de Datos, Visualizaciones y Tableros para análisis de datos en herramientas de Inteligencia de Negocios como por ejemplo Amazon Quicksight/Quick Suite. ¿Cuáles son los conocimientos técnicos requeridos? 💻 Experiencia General: Al menos 3 años de experiencia en ingeniería de datos - Experiencia en AWS: Al menos 3 años de experiencia práctica utilizando servicios de AWS - Comprensión del Entorno: Debe entender los efectos del volumen, variedad y velocidad en la ingesta, transformación y modelado de datos, así como las ventajas y desventajas del uso de arquitecturas para Data Lake, Data Warehouse y Lake House. - Certificaciones AWS: Deseable, AWS Certified Data Engineer - Associate - Programación: Capacidad para aplicar conceptos de programación (independiente del lenguaje) y estructurar consultas SQL Complejas. Deseable, dominio competente de Python. - Control de versiones: Uso competente de comandos Git para control de código fuente. - Servicios de AWS: - Analítica: Athena, Glue, Lake Formation, Kinesis, QuickSight. Deseable: SageMaker Unified Studio. Opcional: EMR. - Cómputo y Contenedores: Lambda, EC2, Glue Notebooks. - Base de datos: Redshift, DynamoDB, RDS - Orquestación: Step Functions, EventBridge. Opcional: MWAA - Infraestructura como Código (IaC): Conocimiento de AWS CloudFormation o AWS CDK para despliegues repetibles. Deseable experiencia con Terraform. ¡Descubre qué te espera en Escala 24x7! 🧗 🌍 Esquema 100% remoto y flexible para trabajar desde cualquier lugar del mundo. ☁️ Certificaciones AWS 100% cubiertas. 🤓 Plataforma de aprendizaje gratuitas para escalar tu conocimiento. 🌴 15 días hábiles al año para recargar energía y seguir escalando. 🎉 Día libre de cumpleaños. 📅 Días libres según el calendario de feriados nacionales del país donde resides. 🎁 Obsequios especiales para celebrar los momentos más importantes de tu vida. 👶 Licencia por nacimiento extendida.

Sessional Lecturer - EDST 3170U Developing Numeracy - Spring/Summer 2026 Tracking Code: req1969 Frazer Faculty of Education Number of Sections: 1 Appointment Type: Limited Term Salary Grade: Administered in accordance with Appendix A of the Sessional Lecturers Collective Agreement with PSAC Posting Date: March 25, 2026 Closing Date: April 22, 2026 (7:00 pm EST) Course Name and Number: EDST 3170U - Developing Numeracy Location of classes: Synchronous and Asynchronous Online Course Start Date: May 11, 2026 Course End Date: August 28, 2026 Reporting to the Dean and working in close collaboration with the BA EDST Program Director, the Sessional Lecturer provides instruction primarily to undergraduate students in the BA ESDT Program within the Frazer Faculty of Education. To view this course description, please click the following link and enter the course code from above: https://calendar.ontariotechu.ca. Responsibilities/Accountabilities: The primary responsibility of the applicant is to (develop and) teach a theoretically, methodologically sophisticated and relevant course at the university level within the parameters of the course description listed above. In keeping with a technology-enhanced learning environment utilizing laptop computers and wireless connectivity, the Sessional Lecturer will deliver the course using a technology-enhanced learning approach that includes a variety of inclusive teaching and learning strategies and assessments. The Sessional Lecturer will prepare, deliver and grade all course material and assignments and be available for consultation with students during and following completion of the course session. This position falls within the bargaining unit represented by the Public Service Alliance of Canada (PSAC) and will be subject to the terms and conditions of the collective agreement between the University and PSAC. The collective agreement may be found on the Human Resources section of our website. Candidates will be required to certify that they are currently legally eligible to work in Canada for the duration of the contract. Qualifications: The successful candidate will have demonstrated excellent teaching contributions with a proven aptitude for teaching at the undergraduate level. Required Skills: - A strong theoretical and practical background in numeracy, communication and multiple literacies for young children, including at least a math teachable or graduate research of best practices in math, or STEM, education - Evidence of a well-grounded understanding of curricular and pedagogical design, educational research, and authentic assessment of numeracy and communication skills in young children - A proven ability to meaningfully and effectively integrate technology by designing and leading interactive, inclusive learning experiences in online learning environments, including synchronous, asynchronous, and blended modes. - Evidence of flexible support for adult students in online learning, support that maintains academic rigour, - Use of authentic assessment techniques in online environments that foster reflection, creativity, critical thinking, problem-solving, and collaboration in online learning environments - Evidence of an ability to work in a collaborative environment - Excellent communication skills with an ability to maintain effective relationships with a range of faculty, staff and students - Candidates will have demonstrated excellence of at least 2+ years in teaching undergraduate/graduate students in an education program - Demonstrated knowledge and experience with digital learning tools including Canvas, Zoom, and Google Meets - Experience coordinating and supervising Teaching Assistants as applicable Education: - A PhD in Education OR A - Master’s Degree in Education complemented by - Research focus in mathematics education OR - Specialist Qualifications in mathematics education Experience: - Preference will be given to those candidates with demonstrated teaching excellence experiences in numeracy literacy & communication skills in young children in a play-based learning environment and proactively advancing equity, diversity, and inclusion in teaching and learning. - Experience teaching online with synchronous and asynchronous components, using a Problem-based learning model Priority will be given to an Internal Applicant who has taught any course for the University in three (3) different sessions in the past thirty-six (36) months, provided they meet the requirements for the position as outlined in the job posting. How to Apply: Interested candidates should submit in electronic format a covering letter and their resume. Applications will be accepted until April 22, 2026 or until a suitable candidate is found. We appreciate all applications received; however, only those candidates selected for an interview will be contacted. Ontario Tech University is actively committed to equity, diversity, inclusion, indigenization and decolonization (EDIID), and welcomes applications from all qualified candidates, while especially encouraging applications from First Nations, Metis, Inuit peoples, Indigenous peoples of North America, racialized persons, persons with disabilities, and those who identify as women and/or 2SLGBTQ+. All qualified candidates are encouraged to apply; however, Canadian citizens, permanent residents, Indigenous Peoples in Canada, and those eligible to work in Canada, will be given priority. Ontario Tech University respects people's different needs and therefore will take all reasonable steps to ensure accommodation for applicants where appropriate. The University is also committed to ensuring that confidentiality is maintained throughout all aspects of the recruitment cycle. If you require accommodation, please contact Julie Day, Health and Disability Management Specialist. For more information about the universities policies for accommodating employees with disabilities please review the university’s Accessibility Policy. The university acknowledges the lands and people of the Mississaugas of Scugog Island First Nation which is covered under the Williams Treaties. We are situated on the Traditional Territory of the Mississaugas, a branch of the greater Anishinaabeg Nation which includes Algonquin, Ojibway, Odawa and Pottawatomi. Job Location: Oshawa, ON, Canada

Field Services Pipeline – 1099 Independent Adjuster (Specialty Lines) Department: Contractor Employment Type: Contract / Temp Location: Home United States Description Davies North America is building a pipeline of experienced 1099 Independent Adjusters to support field assignments across a range of specialty and complex claims. This opportunity is ideal for adjusters with strong field investigation skills and a background in large loss, multi-line, liability, marine and cargo, trucking/transportation, and other specialty lines. As a trusted field partner, you will investigate, document, evaluate, and help drive resolution on claims requiring responsive on-site expertise, sound judgment, and high-quality reporting. Assignments may include daily and surge-related claims activity, complex losses, and specialized investigations requiring thorough scene review, stakeholder coordination, and timely file handling. Key Responsibilities We are seeking adjusters with experience in specialty and complex field claims, including one or more of the following: - Property (Commercial / Large Loss) - Liability (General Liability / Bodily Injury) - Transportation (Commercial Auto / Trucking / Transportation / Marine / Cargo) - Multi-Line - Field Investigations (Scene Investigations / Statements / Witness Interviews) - Conduct on-site inspections and field investigations for assigned claims - Evaluate damages, liability, coverage indicators, causation, and exposure within client guidelines - Inspect property, vehicles, equipment, cargo, and accident scenes as applicable - Document findings through photographs, measurements, diagrams, field notes, and statements - Prepare timely, accurate reports, estimates, and recommendations - Coordinate with examiners, clients, vendors, experts, attorneys, insureds, and claimants - Manage files independently while meeting service, documentation, and turnaround standards - Escalate large-loss, coverage, liability, fraud, or other complex issues as needed - Prior experience as a 1099 Independent Adjuster or similar field-based claims professional - Background in specialty lines, complex losses, or investigative fieldwork - Experience handling liability, transportation, marine/cargo, heavy equipment, commercial auto, or multi-line claims - Strong investigative, organizational, and communication skills - Ability to work independently, manage deadlines, and maintain high-quality documentation - Proficiency with estimating platforms, claims systems, and standard field reporting tools Skills, knowledge & expertise - Active adjuster license(s) as required for assigned territories - Valid driver’s license and reliable transportation - Ability to travel within assigned region/territory for field inspections - Strong computer, mobile documentation, and reporting skills - Ability to manage sensitive and confidential information with discretion - Experience with Xactimate or other estimating platforms - Existing carrier certifications - Background in CAT, daily claims, or TPA environments You may also send your resume to usprecruiting@us.davies-group.com Why Join the Davies Network Davies continues to expand its claims capabilities across the U.S. and publicly emphasizes broad claims expertise, field support, specialty transportation/cargo solutions, ongoing claim volume, training resources, and a nationwide need for experienced adjusters. As part of the Davies field services pipeline, you may benefit from: - Access to a variety of field assignments - Opportunities across specialty and complex claim types - Exposure to multiple carrier and client environments - Supportive operational and QA resources - Consistent communication from recruiting and deployment teams - The ability to leverage your specialty expertise in high-value, high-impact field work This is a 1099 independent contractor opportunity supporting field-based claims activity. Assignments may vary based on geography, licensing, claim type, client need, and surge volume.