Aws Data Engineer – Ingles – Remoto

buscojobs España; Albacete; A distancia; EUR 40.000 - 65.000; Jornada completa

Descripción de la vacante

A leading company is seeking a Senior Data Engineer to enhance their data infrastructure. The role involves designing data pipelines, integrating data sources into Snowflake, optimizing performance, and collaborating with Data Scientists. Ideal candidates will have extensive data engineering experience and strong problem-solving skills, and the position allows remote work from Spain.

Formación

• Minimum 5 years of experience in data engineering, focusing on DBT, Snowflake, and GitHub.
• Proficiency in Python, Apache Airflow, and AWS.
• Strong analytical and problem-solving skills.

Responsabilidades

• Design, develop, and maintain robust data pipelines using DBT, Apache Airflow, and Python.
• Integrate data from various sources into Snowflake, ensuring data quality and consistency.
• Manage and optimize AWS cloud infrastructure for data processing and storage.

Conocimientos

DBT

Snowflake

GitHub

Apache Airflow

Python

AWS

Fluency in English

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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