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Data Engineer

Data Engineer

Security Management - Data Engineer - EY Global Delivery Services

EY

Buenos Aireslead

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Описание вакансии

Security Management – Data Engineer
Assistant Director
Today’s world is fueled by vast amounts of information, which means that data is even more valuable than ever before. Protecting data and information systems is central to doing business, and therefore everyone in EY Information Security has an important role to play. Join a global team of almost 1200 people who collaborate to support the business of EY by protecting EY and client information assets. Information Security professionals enable EY to work securely and deliver secure products and services, as well as detect and quickly respond when things go wrong. Together, the efforts of our dedicated team help protect the EY brand and build client trust.

Within Information Security we blend risk strategy, digital identity, cyber defense, application security and technology service solutions as we consider the entire security lifecycle. You will join a team of hardworking, security-focused individuals dedicated to supporting, protecting, and enabling the business through secure solutions and information systems.

The Opportunity
As a Security Data Engineer within Security Technology Services (STS), you will join a global team responsible for engineering, integrating and enhancing security data platforms that support EY’s multi-cloud and on-premises environments.

You will develop scalable data ingestion, integration, automation and analytics capabilities that provide centralized visibility across multiple security, and operational technology platforms. Working across Azure, you will use modern cloud-native services and ETL frameworks to onboard, transform, enrich and analyze enterprise data.

The role will also design and support Azure-based data pipelines, automation solutions and reporting capabilities using Azure Data Factory, Azure Databricks, Azure Functions, Logic Apps, and SQL technologies to improve operational efficiency, data quality and decision-making.

You will support the implementation and ongoing management of SaaS applications and enterprise security technologies used by Information Security teams globally. This includes partnering with Security Architects, Service Delivery, Security Operations, Engineering teams and business stakeholders to deliver secure, scalable and data-driven solutions, while providing technical guidance for complex integrations.

Your Key Responsibilities

  • Design build and maintain enterprise-scale ETL/ELT processes and Azure data integration frameworks across multiple cloud environments (primarily Azure) from both security and enterprise tools
  • Build and support data ingestion, orchestration and automation solutions using Azure Data Factory, Azure Functions, Logic Apps and related Azure services.
  • Collect, transform, validate, enrich and analyze data from enterprise systems, cloud platforms, APIs, SaaS applications and third-party technologies.
  • Develop SQL-based data pipelines, database objects, stored procedures, data models, dashboards and reporting solutions for business, compliance and security needs.
  • Partner with cross-functional teams to onboard data sources and deliver scalable integration, automation, reporting and analytics capabilities.
  • Support enterprise data platforms through performance tuning, troubleshooting, monitoring, automation, upgrades, cloud migration, change management and continuous improvement.
  • Maintain technical documentation, architecture diagrams, operational procedures, support runbooks and data flow documentation.
  • Work across multi-cloud environments with Microsoft Azure as the primary platform

The successful candidate will have:

  • Experience with Azure Databricks, data warehousing, data lake architecture and Azure native data platforms for large-scale transformation and analytics.
  • Exposure to Microsoft SQL Server technologies including SSDT, SSRS, SSIS, relational databases, stored procedures and reporting frameworks.
  • Experience developing REST API integrations and consuming web services for enterprise data onboarding and automation.
  • Familiarity with Infrastructure-as-Code, DevOps, CI/CD, cloud automation and deployment automation practices.
  • Experience with, integrating large amounts of security data across multiple cloud environments (primarily Azure) from both security and non-security tools.
  • Experience implementing monitoring and alerting for cloud services, data pipelines, integrations and automation workflows.
  • Knowledge and exposure to Azure AI Foundry/Azure OpenAI a plus.

Skills And Attributes For Success
We are looking for individuals with practical experience working as a Data Engineer in a large Azure global environment with strong knowledge in analytics and reporting

The successful candidate will have:

  • Strong understanding of data engineering principles, including ETL/ELT, data modelling, transformation, lifecycle management, master data management, data warehousing, data lakes and enterprise data architecture.
  • Experience designing scalable, resilient and secure Azure-native data ingestion, integration, automation, analytics and reporting solutions.
  • Hands-on experience with Azure Data Factory, Azure Functions, Logic Apps, Storage Accounts, Azure Key Vault, Azure Monitor, Azure App Services and related integration services.
  • Strong SQL and data analysis experience across relational databases, SQL Server technologies, stored procedures, reporting frameworks and analytics platforms.
  • Ability to work with structured, semi-structured and API-driven data from cloud platforms, SaaS applications, enterprise systems and security technologies.
  • Proficiency in Python, PowerShell or similar scripting languages for automation, cloud operations, data transformation, monitoring and systems integration.
  • Strong understanding of Azure cloud security concepts including identity and access management, secrets management, encryption, authentication, authorization, secure API integration and governance.
  • Experience developing automated workflows that improve efficiency, data quality, compliance monitoring, platform resilience and service reliability.
  • Knowledge of DevOps practices including CI/CD, source control, deployment automation, environment management and release processes.
  • Strong troubleshooting and root cause analysis skills across cloud platforms, databases, APIs, data pipelines, automation workflows and enterprise applications.
  • Experience integrating large amounts of data from various SaaS and OnPrem platforms and tools into centralized platforms for reporting, analytics, governance and decision-making.
  • Ability to collaborate across engineering, infrastructure, operations, security, architecture and business teams to deliver end-to-end technical solutions.
  • Strong communication, stakeholder management and consulting skills, with the ability to translate technical concepts into business value.
  • Continuous improvement mindset with a focus on automation, optimization, operational excellence and emerging cloud technologies.
  • Knowledge and exposure to Azure AI Foundry/Azure OpenAI a plus.
  • Knowledge of creating and maintaining Power BI dashboards/reports.

To Qualify for the Role, You Must Have

  • Detailed knowledge of Azure cloud data engineering, enterprise integrations, data platforms, database technologies, networking fundamentals, API-based architectures and scripting languages.
  • Hands-on experience with Azure Data Factory, SQL development, ETL/ELT frameworks, data integration patterns, cloud automation and enterprise reporting solutions.
  • Experience designing, supporting and troubleshooting enterprise-scale cloud data platforms, integrations and analytics solutions for operational, compliance or security use cases.
  • At least 8 years of experience in Data Engineering,
  • 3+ years of demonstrated engineering experience in large, global and virtual enterprise environments.
  • Strong understanding of Azure cloud technologies, enterprise integrations, and data architecture.
  • Excellent time management, organizational and decision-making skills.
  • Ability to document processes, procedures, architecture designs, data flows and technical solutions clearly for internal teams and customers.
  • Experience working with external vendors and suppliers across technology services.
  • Technical proficiency with APIs, automation frameworks and scripting technologies such as Python, PowerShell, Ansible or similar platforms.

Ideally, You’ll Also Have

  • A bachelor’s degree in computer science, Engineering, Information Technology, Mathematics or a related field, or equivalent work experience.
  • Microsoft Azure or technology certification programs.
  • Experience in project management, service introduction, service readiness, and technology lifecycle management.

What We Look For
This role is ideal for someone with strong problem-solving, analytical, decision-making and communication skills.

We are looking for individuals who work effectively with culturally diverse onshore and offshore teams, navigate ambiguity with confidence and balance security, cloud engineering, data engineering and operational priorities.

Independent thinkers with strong technical foundations, collaborative mindsets and a commitment to automation and continuous improvement will thrive in this role.

What We Offer
As part of this role, you will work in a highly coordinated, globally diverse team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial, and social well-being. Your recruiter can talk to you about the benefits available in your country. Here's a snapshot of what we offer:

  • Continuous learning: You will develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: We will provide the tools and flexibility, so you can make a significant impact, your way.
  • Transformative leadership: We will give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: You will be accepted for who you are and empowered to use your voice to help others find theirs.

We ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.

EY is committed to being an inclusive employer, and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in building a better working world.

Apply now.

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Data Engineer

Data Engineer

Max Capital

Buenos Aires

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Описание вакансии

En Max Capital queremos que nuestra organización tenga los datos en el centro de su estrategia. Para eso necesitamos
Data Engineers
que puedan manejar grandes volúmenes de datos, construir una arquitectura de datos de forma completa y escalable; y colaborar junto a los equipos de Ingeniería de software en los flujos para la creación de modelos que permitan generar recomendaciones, detectar fraude, determinar scoring de créditos, automatizar procesos, y en general, marcar el rumbo de la estrategia mediante datos!

Que vas a hacer

  • Evolucionar nuestra Arquitectura de Datos (Ingesta batch y Real Time, Data Lake, Data Warehouse, Data Science Workflows, etc.) cumpliendo con la demanda en un proceso iterativo e incremental.
  • Desarrollar y mantener conectores mediante MCP (Model Context Protocol) para integrar fuentes de datos con nuestro bot de IA.
  • Interactuar con áreas comerciales, áreas operativas, y data scientists interpretando problemas, y generando soluciones en distintos equipos multidisciplinarios.
  • Identificar diferentes opciones de ingesta, transferencia, merge y compresión de datos.
  • Orquestación de cargas de trabajo usando pipelines.
  • Interactuar con los equipos de ingeniería al momento de desplegar, monitorear y mantener los modelos en producción.
  • Investigar y divulgar el “estado del arte” en tecnologías de Big Data aplicados en la industria.
  • Establecer las mejores prácticas de desarrollo de software a fin de asegurar procesos eficientes y automatizados.
  • Asegurar la escalabilidad, calidad y flexibilidad, de manera que se pueda garantizar un rápido crecimiento.

Requisitos

Requisitos del puesto

  • Graduados de las carreras de Ingeniería en Sistemas, Ciencias de la Computación o afines.
  • Experiencia en manejo de Bases de Datos.
  • Experiencia en implementaciones de bases de datos relacionales y Data Warehouse.
  • Desarrollo en Python, SQL
  • Conocimiento intermedio del idioma inglés.

Conocimiento valorados

  • Experiencia en desarrollo y tuning de data pipelines. Airflow
  • Experiencia con tecnologías como DBT, Power BI y Apache Superset, Kubernetes, Docker.
  • Desarrollo en Spark
  • Experiencia con Big Data

Somos una compañía líder en asesoramiento financiero, que combina experiencia con energía joven e innovación. Brindamos servicios de Sales & Trading, Mercado de Capitales y Gestión Patrimonial tanto para clientes institucionales y corporativos, como para individuos. Operamos en todos los Mercados relevantes (ByMA, A3 Mercados y MAV) como ALyC y como AN Integral registrado bajo el N° 570 de la Comisión Nacional de Valores. Confiamos en lo que hacemos, en cómo lo hacemos y en quienes lo llevamos a cabo las personas son nuestro principal capital. Contamos con +150 colaboradores de alta formación y capacidad técnica, en nuestras oficinas en Buenos Aires, Mendoza y Montevideo. Nuestro negocio está basado en un principio fundamental poner los intereses de nuestros clientes primero.

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Data Engineer

Data Scientist

Grupo Petersen

Buenos Aires

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Описание вакансии

Si te interesa ser parte de desafíos donde los datos y la IA generan valor real, ¡queremos conocerte!
Buscamos
Data Scientist
para diseñar, desarrollar y validar modelos analíticos y soluciones de Inteligencia Artificial que nos permitan transformar grandes volúmenes de datos en información de valor y contribuir a mejores decisiones de negocio.

¿Cuáles serán los desafíos del rol?

  • Diseñar, desarrollar y desplegar soluciones de Inteligencia Artificial Generativa, incluyendo arquitecturas RAG (Retrieval-Augmented Generation) y sistemas basados en agentes (AI Agents).
  • Diseñar y desarrollar modelos de Machine Learning clásico y Analítica Avanzada (clasificación, regresión, clustering, series de tiempo).
  • Evaluar, optimizar y realizar fine-tuning o prompt engineering sobre Modelos Fundacionales (LLMs) para adaptarlos a casos de uso específicos del negocio.
  • Analizar datos de distintas fuentes y preparar datasets complejos (estructurados y no estructurados, como texto o documentos) para el entrenamiento y validación de modelos.
  • Validar hipótesis y evaluar el rendimiento de modelos utilizando metodologías tradicionales y nuevas métricas específicas para LLMs (mitigación de alucinaciones, coherencia, etc.).
  • Trabajar junto a Ingeniería de Datos, DataOps/MLOps y áreas de negocio para productivizar, escalar y monitorear soluciones analíticas e inteligentes.
  • Interpretar métricas técnicas y traducir los resultados en insights accionables y comprensibles para áreas no técnicas.
  • Documentar metodologías, flujos de orquestación de IA, supuestos y resultados para asegurar la trazabilidad.
  • Asegurar el cumplimiento de políticas internas, normativa de privacidad de datos, seguridad de la información (clave al usar APIs externas de IA) y estándares PLAFyT.

Requisitos

¿Qué buscamos?

  • Experiencia sólida Mínimo de 3 años trabajando en Data Science, Machine Learning o Analítica Avanzada, con experiencia reciente comprobable en proyectos de IA Generativa.
  • Stack Tecnológico Core Dominio avanzado de Python y SQL.
  • Agentes y RAG Conocimiento comprobable en la construcción de pipelines RAG avanzados y desarrollo de Agentes de IA autónomos/semi-autónomos.
  • Machine Learning Clásico Sólidos conocimientos de estadística, modelado predictivo y uso de librerías/frameworks tradicionales (Scikit-learn, XGBoost, TensorFlow, PyTorch).
  • MLOps y LLMOps Conocimientos del ciclo de vida de los modelos, desde la experimentación hasta el despliegue y monitoreo en producción.
  • Ecosistema GenAI Deseable experiencia práctica trabajando con LLMs (OpenAI, Anthropic, Llama, etc.), frameworks de orquestación (LangChain, LlamaIndex, etc.) y bases de datos vectoriales (Pinecone, ChromaDB, Qdrant o similares).
  • Habilidades blandas Excelente capacidad para interpretar resultados, comunicar ideas complejas a interlocutores de negocio y trabajar colaborativamente.
  • Formación Académica en Ciencia de Datos, Estadística, Matemática, Ingeniería, Sistemas, Informática o carreras afines.

Beneficios

¿Qué ofrecemos?

  • Formar parte un grupo financiero que tiene como propósito agilizar el crecimiento para el desarrollo regional.
  • Excelentes condiciones de contratación bajo convenio bancario
  • Modalidad esquema híbrido full time – CABA (zona Teatro Colón)
  • Cobertura de medicina prepaga para vos y tu familia.
  • Plataforma de bienestar - Wellhub, Club de Beneficios , Beneficio de guardería.
  • Importantes descuentos en instituciones educativas para para vos y tu familia.
  • Formación constante para la posición y para el desarrollo profesional.
  • Bonificaciones en productos bancarios.
  • Posibilidad de ser parte de programas de voluntariado corporativo con foco en la transformación para la excelencia cultural y educativa.

Somos
Grupo Petersen
, uno de los grupos económicos más importantes de Argentina, con más de un siglo de trayectoria y presencia en todas las regiones del país. Nuestra visión es contribuir al desarrollo nacional potenciando los recursos estratégicos y el talento de nuestras comunidades, bajo valores de excelencia, confiabilidad, solidez y transparencia.

Nuestras unidades de negocio líderes incluyen

Banca Regional
Banco San Juan, Banco Santa Cruz, Banco Santa Fe y Banco Entre Ríos.

Fintech y Tecnología
ASJ TEC y PlusPagos.

Seguros
Qualia.

Ingeniería y Construcción
Petersen, Thiele & Cruz.

Minería y Energía
Unidad Minera Grupo Petersen, socio estratégico del ecosistema minero argentino.

Mercado de Capitales
Crear SGR.

Agronegocios
Santa Sylvia y Bodega Xumek.

Innovación
Centro de formación e innovación financiera i3.

A través de nuestras
Fundaciones
, impulsamos la excelencia educativa y el crecimiento social en cada región donde operamos, reafirmando nuestro compromiso con el futuro y el desarrollo productivo del país.

¡Te invitamos a formar parte de nuestro equipo!

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Data Engineer

TTT - Data Engineer - EY Global Delivery Services

EY

Buenos Aires

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Описание вакансии

EY’s GDS Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding database, data analytics and programming skills.

Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

EY's GDS Tax Technology team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax.

GDS Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests.

EY is currently seeking a
Data Engineer - Senior
to join our Tax Technology practice.

Key Responsibilities

  • Strong database programming/ backend development experience using SQL Server/Azure SQL, writing complex queries, stored procedures, views, triggers, cursors, UDFs.
  • Strong knowledge in data modeling and Datawarehouse concepts.
  • Experience on Azure Data Factory or any other ETL
  • Develops, maintains, and optimizes all data layer components for new and existing systems, including databases, stored procedures, ETL packages, and SQL queries
  • Experience on Azure data platform offerings.
  • Interacts with application developers from various core systems to address changes in those systems and their impact on existing SQL databases
  • Defines data solutions for business problems by working directly with project managers, seniors and clients
  • Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions

Qualification & Experience Required

  • 1-2 Year(s) with Microsoft Fabric
  • Python, PySpark, or Spark SQL experience
  • CI/CD (Git integration + deployment pipelines)
  • Lakehouse and Warehouse experience
  • Strong verbal and written communications skills
  • Ability to work as an individual contributor.
  • 4+ years of experience on SQL DB/Server including building SQL Database, database designing and data modelling, SQL server experience with SSIS, Any ETL experience.
  • Experience on Azure Data Factory / SSIS and any other ETL tools.
  • Experience with Microsoft visual analytics tools (Power BI) and Analysis Services.

Nice to have:

  • Multi-tenant architecture design & concurrent processing experience
  • Experience with Agentic Coding & building new agents

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Solution Manager Data

Agnostic IT

Buenos Aires

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Описание вакансии

Sobre nosotros:
En Agnostic estamos buscando un Solution Manager de nuestra area de Data.

¿Qué esperamos de vos?

Complementar la preventa desde el aspecto técnico. Esto consiste en realizar un relevamiento de requisitos y así poder elaborar una propuesta comercial.

Mantener una relación activa con los vendors de su unidad de negocio y conocer en profundidad las tecnologías que estos venden. Esto implica capacitarse en los pilares tecnológicos.

Asegurar la correcta implementación del modelo de trabajo, que este se ajuste a lo definido en la propuesta comercial con la finalidad de asegurar el cumplimiento de los entregables del proyecto.

Ejecutar el proceso de satisfacción el cliente a través de reuniones con los líderes técnicos y recursos para la entrega de informes

Conocer en detalle el contrato acordado con el cliente (Alcance, entregables, riesgos, KPI, SLA)

Monitoreo de los proyectos en curso.

Requisitos:

  • Experiencia en preventa de data.

  • Experiencia liderando proyectos de Gobierno de Datos.

  • Conocimiento en algunas de las siguientes herramientas: Alation, Cloudera, Snowflake, Databricks. (Excluyente)

Modalidad: Hibrida (dos veces por semana en las oficinas de Parque Patricios)

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Security Management - Data Engineer - EY Global Delivery ServicesEY · Argentina

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