Cloud Data Engineering

Cloud Data Engineering

21 oct
|
Evalueserve
|
Santiago

21 oct

Evalueserve

Santiago

Why choose us?

Evalueserve was founded in 2000 and is a global professional services provider offering research, analytics, and data management services. We’re powered by mind+machineTM, a unique combination of human expertise and best-in-class technologies that use smart algorithms to simplify key tasks. We work with clients across a wide range of industries and business functions, helping them to make better decisions faster and reach new levels of efficiency and effectiveness.

Our center in Viña del Mar, Chile, opened in 2007 and we now have over 550 professionals. We pride ourselves on having a multicultural team, with around 25 nationalities represented. Additionally, as a leading employer,





we highly invest in our people’s development with specific Line of Business and management training programs.

Your opportunity:
Do you want to be at the heart of Data Engineering practice?

This position is part of Evalueserve's Data Analytics division and is within a fast-paced, highly visible, and high-impact team that works in a multicultural, multidisciplinary, supportive, and dynamic environment. If you love solving challenging data engineering and management problems, working in dynamic teams, providing top-notch quality services to your clients, and bringing new ideas to the table, we want to talk to you.

We'll trust you to:
We built our values around always being refreshing, responsive, and rigorous. In Data Analytics, our clients engage us with us on the following essential tasks and responsibilities:

- Self-drive to learn and develop new skills on leading platforms
- Use cloud services and tools to ingest, egress, and transform data from multiple sources






- Implement data solutions in cloud or hybrid environments
- Implement and maintain data models for the proper operation of cloud infrastructures
- Collaborate in multidisciplinary teams to implement data engineering solutions
- Ensure integrity of data through rigorous attention to detail and validation, including adherence to all regulatory, privacy compliance, and security procedures
- Lead data engineer teams when needed
- Recognize potential issues and risks during project implementation and suggest realistic mitigation strategies
- Interact with stakeholders and provide design solution as and when needed
- Document process, codes, and models to be shared with different within the teams as well with stakeholders, ensuring knowledge management







Admite solicitudes de personas con discapacidad

**Detalle **Oferta**:
Área de desempeño:
Otra Área

Región:
Valparaíso

Comuna:
Viña del Mar

Lugar de Trabajo:
Álvarez 646, Viña del Mar, Chile

Dirección:
Álvarez 646, Viña del Mar, Chile, Valparaíso

Código Postal:
2520000

Duración Contrato:
Jornada

Mixta (teletrabajo + Presencial)

**Requisitos**:
Requisitos Minimos:
What you bring to the role:

- A degree in Computer Engineering, Information Systems, Engineering, Technical Analyst Programming, or a

similar field
- 4+ years of relevant experience working in on-premise (creating/supporting ETLs, database administration,

shell scripting, data modeling) or cloud (GCP, Azure, AWS) data solutions






- Al least 2+ years of relevant experience working in cloud computing and hands-on experience with any of

these Cloud service providers (Google Cloud Platform, Azure, Amazon Web Services)
- Experience with data migration to cloud native environment and Big Data environment
- Deep understanding of data warehouse, data could architecture, building data pipelines, and orchestration
- Experience in batch processing/real-time implementation
- Strong proficiency in Python programming language
- Strong proficiency in SQL
- Experience using Spark, PySpark
- Familiarity with CI/CD implementation on the cloud

Experiência Mínima:
Desde 4 años

Estudios mínimos:
Universitaria







Situación Académica:
Graduado

Habilidades:
Carrera:
Idiomas Requeridos:

- Inglés
Escrito: medio - Hablado: medio - Traducción: medio

Tipos de discapacidad:

▶️ Cloud Data Engineering
🖊️ Evalueserve
📍 Santiago

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