Data Engineer

Emagine - Portugal; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A prominent tech company is seeking a Data / ETL Engineer to build and operate data pipelines using AWS. Candidates should have strong skills in SQL and Python, and hands-on experience with AWS Glue and Amazon Athena. Familiarity with Apache Flink and Kafka is desirable. This position requires work in the Denmark time zone, ideal for professionals aiming for challenging roles in data engineering.

Qualificações

• Strong experience with building and operating data pipelines in AWS.
• Solid understanding of relational databases, preferably Microsoft SQL Server.
• Experience building streaming data pipelines is a plus.

Responsabilidades

• Build and maintain data pipelines in AWS.
• Query data from data lakes using Amazon Athena.
• Collaborate with engineers and analysts on data models.

Conhecimentos

SQL

Python

AWS Glue

Amazon Athena

Apache Iceberg

Data Lake Management

AWS services knowledge

Ferramentas

Apache Flink

Kafka

Descrição da oferta de emprego

Profile

Data / ETL Engineer (AWS) We are looking for a Data / ETL Engineers with strong experience building and operating data pipelines in AWS.

Core skills & experience

• Solid understanding of relational databases, with strong SQL skills (experience with Microsoft SQL Server preferred)
• Strong Python development skills, particularly for data processing and ETL workloads
• Hands‑on experience with Amazon Athena for querying data in data lakes
• Experience with AWS Glue, including Glue Data Catalog, databases, and crawlers
• Knowledge of Apache Iceberg for table formats and data lake management
• Broad AWS knowledge, including data services, IAM, networking basics, and operational best practices

Nice-to-have / preferred experience

• Experience building streaming data pipelines, preferably using Apache Flink
• Familiarity with Kafka (managed or self-hosted) for event‑driven architectures
• Experience with non-relational datastores and / or column‑oriented data stores (e.g. NoSQL, data warehouse or analytics-focused systems)
• Comfortable working with modern data lake architectures in AWS
• Experience collaborating with engineers, analysts, and stakeholders around data models and ingestion patterns

To work in the Denmark time zone