7 publicaciones de empleo destacadas de ai developer en vicente lópez, b (¡Están contratando!)

Data Analytics Intern
Web: —Buenos Aires, Buenos Aires
- Beca / pasantías
7h
Vendor Solutions Consultant, Google Cloud
Google —Buenos Aires, Buenos Aires
- Tiempo completo
9h
Senior Android Engineer - Argentina
Qodea —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Technical Architect, Salesforce -Hybrid
Marcus Thomas, LLC —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Principal Security Engineer – Identity & Access
dLocal —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Finance - Supervising Associate - SAP Reporting Support - EY Global Delivery Services
EY —Capital Federal, Buenos Aires
HubSpot Developer (RevOps / CRM Operations) - Latam
Ammortal Inc —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
2h

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Vendor Solutions Consultant, Google Cloud
Google —Buenos Aires, Buenos Aires
5 years of experience leading vendor strategy and operations for software development projects, at a technology company.
9h
Data Analytics Intern
Web: —Buenos Aires, Buenos Aires
Interest or foundational knowledge in AI concepts, including prompting techniques or agent development. Design solution architecture to consume, transform, and…
7h

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Data Analytics Intern

Web: -
Buenos Aires, Buenos Aires

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Detalles del empleo

Beca / pasantías
Hace 7 horas

Descripción completa del empleo

Descripción del empleo:

As a Data Analytics Intern, you will be expected to perform the following activities in alignment with your experience level:

Gather, understand, and document functional and non-functional requirements from stakeholders to support analytical solutions

Write or collaborate on the creation of business requirements documents (BRDs) detailing solution characteristics, business expectations, and anticipated value.
Create diagrams that illustrate high-level data domains and key concepts involved in solution design.
Document required measures and KPIs to support business objectives, including clear definitions and calculation logic.

Explore and understand data assets to be leveraged as sources for analytical solutions

Build and maintain detailed inventories of data assets required to deliver analytical solutions.
Profile data assets to understand their granularity, domain context, business meaning, definitions, data quality characteristics, and interrelationships.

Design solution architecture to consume, transform, and deliver data for analytical solutions – Data Marts / Data Lake

Design scalable and reusable logical data models for analytical repositories using relational and dimensional modeling techniques, integrating and conforming data from multiple sources.
Document entities, attributes, and relationships using logical data model diagrams.
Define detailed data movement requirements to populate modeled entities, including column mappings, joins, load strategies, and load dependencies.
Perform internal testing and system integration testing (SIT) on developed data assets.
Collaborate with cross-functional teams to deliver end-to-end analytical solutions, including:
- Data Governance teams for integration of master and reference data
- Data Services / Engineering teams for ETL development
- Business stakeholders for user acceptance testing (UAT)
- Data Quality teams to support periodic data quality assessments
- Report and dashboard developers, acting as a subject-matter expert (SME) on the designed data assets
- Production Support teams for troubleshooting and issue resolution

Implement data assets for serving data – Semantic Layer

Design and implement semantic-layer data assets to support reports, dashboards, self-service analytics, and other downstream consumption scenarios.
Create and maintain data dictionaries and documentation to enable and empower data consumers.

Demonstrate a solution‑owner mindset

Collaborate in backlog refinement, maintenance, and prioritization activities.
Actively participate in agile ceremonies, contributing to discussions on current work, next steps, dependencies, and risks.
Provide work breakdowns, effort estimates, and expected delivery timelines for assigned tasks.

Build and support diverse, high‑performing teams

Work effectively with a high degree of independence in a remote or hybrid environment.
Continuously expand professional value by learning emerging technologies and concepts and applying them to improve existing products, processes, and outcomes.

Required Qualifications – Experience, Skills, and Knowledge

Completion of at least the 2nd year and current enrollment in the 3rd or 4th year of an undergraduate program in Mathematics, Computer Science, Statistics, Business Management, Information Systems, or a related field
English proficiency at an advanced level (C1 or equivalent)
SQL: basic data querying (DQL) skills
Power BI: basic experience with report development or semantic model creation

Preferred Qualifications

Familiarity with Data Warehouses, Data Lakes, or Data Lakehouse architectures
Knowledge of relational and dimensional data modeling techniques
Exposure to agile methodologies such as SCRUM and tools like Azure DevOps
Awareness of cloud computing platforms such as Azure, Google Cloud, or Amazon Web Services, including Databricks
Interest or foundational knowledge in AI concepts, including prompting techniques or agent development
Exposure to Microsoft Fabric

Helping People Thrive in a Connected World
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ai developer empleos en vicente lópez, b

Data Analytics Intern

Vendor Solutions Consultant, Google Cloud

Senior Android Engineer - Argentina

Technical Architect, Salesforce -Hybrid

Principal Security Engineer – Identity & Access

Finance - Supervising Associate - SAP Reporting Support - EY Global Delivery Services

HubSpot Developer (RevOps / CRM Operations) - Latam

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As a Data Analytics Intern, you will be expected to perform the following activities in alignment with your experience level:

Required Qualifications – Experience, Skills, and Knowledge

Preferred Qualifications

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