AWS DATA ENGINEER – INGLES – REMOTO

IRIUM - Spain; Salamanca; A distancia; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

A leading company in data solutions seeks a Senior Data Engineer to enhance its data infrastructure. This role involves developing data pipelines, integrating diverse data sources, and collaborating with data scientists. Ideal candidates will have at least 5 years of experience in relevant technologies and excellent problem-solving skills.

Formación

• Minimum 5 years of experience in data engineering, focusing on DBT, Snowflake, GitHub.
• Fluency in English, excellent communication, and collaboration skills.
• Strong analytical and problem-solving skills, attention to detail.

Responsabilidades

• Design, develop, and maintain robust data pipelines using DBT, Apache Airflow, and Python.
• Integrate data from various sources into Snowflake, ensuring data quality.
• Optimize data storage and retrieval processes for performance.

Conocimientos

DBT

Snowflake

GitHub

Apache Airflow

Python

AWS

Problem-Solving

Educación

Degree in Computer Science, Data Engineering, or a related field

Descripción del empleo

We are looking for a Senior Data Engineer to contribute to the development and optimization of data infrastructure.

The role requires proficiency in DBT, Snowflake, GitHub , and experience with Apache Airflow, Python, and AWS .

This position demands senior-level expertise, fluency in English, and the ability to work remotely from Spain.

Responsibilities :

• Data Pipeline Development : Design, develop, and maintain robust data pipelines using DBT, Apache Airflow, and Python.
• Data Integration : Integrate data from various sources into Snowflake, ensuring data quality and consistency.
• Collaboration : Work closely with Data Scientists and ML Engineers to ensure seamless data processing and integration.
• Optimization : Optimize data storage and retrieval processes to enhance performance and scalability.
• Version Control : Utilize GitHub for version control and collaboration on data engineering projects.
• Cloud Infrastructure : Manage and optimize AWS cloud infrastructure for data processing and storage.
• Troubleshooting : Identify and resolve issues related to data pipelines and infrastructure.
• Documentation : Maintain comprehensive documentation of data processes, pipelines, and infrastructure.

Qualifications :

• Education : Degree in Computer Science, Data Engineering, or a related field.
• Experience : Minimum 5 years of experience in data engineering, with a focus on DBT, Snowflake, and GitHub.
• Technical Skills : Proficiency in Python, Apache Airflow, and AWS.
• Communication : Fluency in English, with excellent communication and collaboration skills.

Problem-Solving : Strong analytical and problem-solving skills, with attention to detail.

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