Data Engineer

PrimeIT; Portugal; Presencial; EUR 45 000 - 70 000; Tempo integral

Resumo da oferta

A rapidly growing technology company in Portugal seeks an experienced AWS Data Engineer to join a remote project. The ideal candidate will have over 5 years of experience in data engineering, with hands-on knowledge of AWS data services. Proficiency in Python and strong SQL skills are essential. Key responsibilities include building data warehouses and managing AWS resources effectively. This is a great opportunity to be part of a dynamic team driving impactful data solutions.

Qualificações

• 5+ years in data engineering, focusing on data warehouses or data lakes.
• 2+ years working with AWS data services, specific tools experience required.
• Strong skills in Python for ETL and data processing.

Responsabilidades

• Build and maintain data warehouses for analytics.
• Work with AWS data services for effective data management.
• Process, transform, and clean data using AWS tools.

Conhecimentos

Python

AWS Data Services

SQL

Data Formats

Version Control

Descrição da oferta de emprego

Do you want to join a rapidly growing company? What if we told you that in just 18 years, PrimeIT has grown to 2,360 employees?

Imagine being part of this story. Discover the 10 benefits of being a Primer (https://www.youtube.com/watch?v=NQ0s0kLzZ0w) and find out why we are much more than just a technology company.

We are looking for an AWS Data Engineer with fluency in English to join a remote project.

Experience

• 5+ years in data engineering: They want someone experienced in building and maintaining data warehouses (structured storage for analytics) or data lakes (storage for large volumes of raw or semi-structured data).
• 2+ years working with AWS data services: Hands-on experience with AWS-specific tools, not just general cloud knowledge.

Technical Skills

• Python: Must be very comfortable coding in Python, used for ETL (Extract, Transform, Load), data processing, and automation.
• AWS Data Services:
• Storage: S3 – store and organize data, foundation for a data lake.
• Compute: AWS Glue, AWS Lambda – process, transform, and clean data.
• SQL: Strong skills for querying, manipulating, and optimizing datasets.
• Data Formats: Comfortable working with Parquet, ORC, CSV, JSON, Avro.
• Version Control: Git – understand branching, merging, and collaborative workflows.