• Design and develop scalable data ingestion pipelines • Build automated data cleaning workflows • Implement AI guardrails for data quality • Collaborate with cross-functional teams

Role Description We are looking for a skilled individual to join our rapidly growing team at Bluelight. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey. Qualifications - Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent professional experience). - Proven experience developing end-to-end data pipelines extracting/transforming/loading data from REST APIs, relational databases, cloud storage, and flat files. - Demonstrated hands-on experience with Snowflake, including virtual warehouses, streams, tasks, stages, Snowpipe, secure data sharing, and performance optimization. - Advanced SQL development skills with the ability to write complex queries, tune performance, and optimize large-scale workloads. - Experience with dimensional modeling techniques (star schemas, fact tables, dimension tables). - Familiarity with cloud-based data ecosystems, particularly Microsoft Azure. - Managing source code and CI/CD pipelines using Git and Azure DevOps (or similar). - Strong analytical, problem-solving, and detail-oriented mindset. - Excellent verbal and written communication skills; ability to collaborate in a fast-paced environment with evolving priorities. - Knowledge of data integration best practices, data governance, and enterprise data management. Requirements - Certifications: SnowPro, Azure Data Engineer Associate, or equivalent cloud data platform certifications. - Experience with big data technologies, machine learning, data science platforms, or advanced analytics. - Familiarity with BI tools such as Power BI, Tableau, or similar visualization platforms. - Experience with Agile delivery frameworks and DevOps practices. Responsibilities - Design, develop, and maintain scalable ETL/ELT pipelines using Python (PySpark), Snowflake, and cloud-native technologies. - Build reliable, efficient, and reusable data ingestion, transformation, and loading processes. - Utilize Snowflake’s architecture to design, build, and optimize modern cloud data solutions. - Implement and manage Snowflake objects (databases, schemas, tables, views, streams, tasks, stages, stored procedures). - Leverage virtual warehouses, data sharing, time travel, and automated scaling to balance performance and cost efficiency. - Apply dimensional modeling (star schemas, facts, dimensions) to build scalable enterprise data warehouses. - Extract and ingest structured and semi-structured data from REST APIs, relational databases, SaaS apps, flat files, and cloud storage. - Develop robust ingestion frameworks. - Collaborate with data architects and stakeholders to create logical and physical data models aligned with business goals. - Contribute to modern data platform concepts (data lakes, lakehouses, data mesh architectures, enterprise data catalogs). - Support integration between Snowflake and cloud-native services (primarily Azure). - Establish and enforce data engineering standards and best practices. - Implement automated data quality controls, validation frameworks, and monitoring processes. - Support data governance initiatives and maintain adherence to organizational standards. - Ensure data security, privacy, and regulatory compliance (access controls, masking policies, industry best practices). - Monitor and optimize Snowflake workloads, ETL/ELT processes, and SQL queries to meet SLAs. - Analyze warehouse utilization and recommend performance and cost-efficiency improvements. - Monitor pipelines, diagnose performance issues, and implement long-term solutions; support production environments and incident resolution. - Maintain comprehensive documentation for pipelines, flows, transformations, data models, and operational processes. - Partner with cross-functional teams (data architects, data scientists, analysts, business stakeholders) to understand requirements and provide technical expertise. Benefits - Competitive salary and bonuses, including performance-based salary increases. - Generous paid-time-off policy. - Flexible working hours. - Work remotely. - Continuing education, training, conferences. - Company-sponsored coursework, exams, and certifications.

Role Description Sumarte como DBA Oracle Senior al equipo de administración de bases de datos de una empresa líder en retail y servicios financieros en Latinoamérica, liderando actividades técnicas de diseño, mantenimiento, optimización y soporte de entornos Oracle críticos en producción. - Instalar, configurar, actualizar y mantener bases de datos Oracle - Desplegar y mantener entornos Oracle RAC, Oracle ASM y Data Guard - Analizar y resolver problemas de performance, proponiendo mejoras - Diseñar y revisar políticas de backup y recovery, garantizando disponibilidad - Gestionar incidentes complejos y cambios de bases de datos Oracle en producción - Planificar upgrades, migraciones y rutinas de mantenimiento de bases de datos - Realizar capacity planning - Detectar proactivamente áreas de mejora en los entornos de bases de datos - Crear y mantener documentación de procedimientos y rutinas de soporte - Capacitar y hacer coaching a miembros del equipo - Mantener una relación sólida con clientes y stakeholders Qualifications - 10+ años de experiencia como DBA Oracle - Conocimiento profundo de arquitectura Oracle y diseño de soluciones de base de datos - Experiencia en Oracle RAC, Oracle ASM y Oracle Data Guard - Dominio profundo de Oracle GoldenGate - Conocimiento y experiencia en Oracle Cloud Control (instalación, configuración, upgrade, troubleshooting y best practices) - Manejo de herramientas y utilidades Oracle: SQLPlus, dbca, dbua, netmgr, netca, Data Pump, RMAN, OEM - Experiencia en troubleshooting de issues complejos en producción - Inglés B2/C1 — capacidad para abrir casos a Oracle e interactuar con soporte por chat o llamada - Disponibilidad para trabajar en horario Chile (9:00 a 18:00) - Disponibilidad para guardia pasiva (máximo 1 semana al mes) Requirements - Oracle Multitenant Architecture (CDB / PDB) - Experiencia con cloud providers: Azure, AWS o Google Cloud Benefits - Entorno colaborativo y proyectos de alto impacto en industrias en auge - Bonificación por conectividad - Reintegro Gym - Crédito PedidosYa - Vacaciones según ley - Obra social: Swiss Medical o OSDE Company Description Envía tu solicitud y únete a nosotros para crear impactantes soluciones tecnológicas. Para aplicar, sigue estos pasos: - Envía tu solicitud a través de nuestro portal. - Completa tu perfil en talentconnect.ai. - Participa en una entrevista inicial utilizando inteligencia artificial. Al completar estos pasos, estarás más cerca de unirte a nuestro equipo de expertos.

Role Description We are looking for someone who can bring structure and shared meaning to complex information. The Data Architect will design data models: the entities, relationships, vocabularies and definitions that let information be captured consistently and exchanged between systems and organisations without losing its meaning. The first assignment is a high-profile NATO programme: developing a command-and-control data model for a new operational domain, working alongside domain specialists and presenting to senior international stakeholders. A defence background is not needed; we will surround them with the domain expertise. What we need is the modelling craft. This is a delivery role. The Data Architect will own the work end to end, from capturing requirements and use cases through to documented, validated models that real organisations adopt. Key Responsibilities - Designing conceptual and logical data models, entities, attributes and relationships, and expressing them clearly in UML or entity-relationship diagrams - Reviewing existing data models and standards, and recommending what to reuse, adapt or avoid - Building data dictionaries, glossaries, controlled vocabularies and code lists with clear, rigorous definitions - Working with subject matter experts to turn domain knowledge into structured, well-defined models - Producing clear documentation and practical guidance that helps others adopt and implement the model - Presenting their work to technical and non-technical stakeholders and explaining their design decisions Qualifications - Experience designing conceptual or logical data models in any complex domain: enterprise, government, health, finance, engineering or similar - Able to produce clear UML class diagrams or entity-relationship diagrams in any mainstream tool (Visio, Enterprise Architect, Lucidchart, draw.io) - Strong written English, as the deliverables of this role are documents and diagrams, not code Preferred - Experience mapping or aligning one data model or standard to another - Exposure to data standards or interoperability work in any sector (e.g. NIEM, HL7/FHIR, ISO standards, government data specifications) - Familiarity with NATO or defence data models (MIM, JC3IEDM, STANAG series), genuinely a bonus, not an expectation - Exposure to ontologies, taxonomies or semantic technologies (RDF/OWL, SKOS) - Background in enterprise or data architecture (TOGAF or similar) - Experience in defence, national security or other regulated environments - An active SC or DV clearance is desirable but not required; we welcome candidates who are eligible for clearance Soft Skills - Delivery focused: comfortable working to fixed milestones and getting drafts in front of reviewers early - Rigorous about meaning: notices when two people use the same word differently, and cares - Clear communicator: able to explain structure and design choices to non-specialists - Comfortable with ambiguity: happy to bring order to a domain that has never been formally modelled - Quick to start: this role begins with a live programme already in motion Benefits - Competitive day rate - Remote work Company Description Oxford Dynamics is a fast-growing UK frontier technology company developing both digital and physical AI systems built to operate in dynamic, mission-critical environments. At the core of everything we build is AVIS™ (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. We work where wrong decisions can be catastrophic, partnering with defence and security organisations internationally to help protect nations, infrastructure and lives.