Data Engineer — Remote, Grow with Modern Data Platforms

Neotalent Conclusion; Porto; Presencial; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work potential

Training & certifications

Internal mobility program

Resumo da oferta

Neotalent Conclusion is seeking a Data Engineer to join our team and contribute to the development and optimization of modern data platforms. You will design, implement, and maintain data pipelines, storage solutions, and data models to support data-driven initiatives and ensure data reliability and quality across the organization.

This role requires strong SQL and Python skills, experience with distributed data processing, and familiarity with cloud environments (Azure/AWS/GCP).

Qualificações

• Proficient in SQL and Python for data manipulation, transformation, and analysis.
• Familiar with PySpark or equivalent distributed data processing technologies.
• Knowledgeable in data modeling concepts and modern storage architectures, including Data Warehouses and Data Lakes.
• Comfortable working with cloud environments such as Azure, AWS, or Google Cloud Platform.
• Familiar with distributed data ecosystems and big data technologies, ideally including Hadoop, Hive, Spark, or Databricks.
• Committed to software engineering best practices, including Git, code review processes, development standards, and automation.

Responsabilidades

• Design, develop, and maintain data ingestion and transformation pipelines.
• Build and optimize data models, Data Warehouses, and Data Lakes to support business requirements.
• Work with distributed data processing technologies to handle large-scale datasets efficiently.
• Collaborate with multidisciplinary teams to ensure data quality, availability, and performance.
• Apply engineering best practices, including version control, code reviews, testing, and automation within data development processes.

Conhecimentos

SQL

Python

PySpark

Data modeling

Data Warehouses

Data Lakes

Azure

AWS

Google Cloud

Hadoop

Hive

Spark

Databricks

Git

Code reviews

Automation

Big Data

Data pipelines

Ferramentas

Databricks

Hadoop

Hive

Spark

Descrição da oferta de emprego

Neotalent Conclusion is seeking a Data Engineer to join our team and contribute to the development and optimization of modern data platforms. You will design, implement, and maintain data pipelines, storage solutions, and data models to support data-driven initiatives and ensure data reliability and quality across the organization.

This role requires strong SQL and Python skills, experience with distributed data processing, and familiarity with cloud environments (Azure/AWS/GCP).