Data Engineer

Emagine - Portugal; Teletrabalho; BRL 376.000 - 484.000; Tempo integral

Resumo da oferta

A tech consulting firm is seeking a Data / ETL Engineer to design and build data pipelines in AWS. The ideal candidate has strong SQL skills and Python experience, with hands-on expertise in AWS services such as Amazon Athena and Glue. This role requires collaboration across teams to optimize data ingestion and models, while working in the Denmark time zone. Candidates should have a solid understanding of modern data lake architectures and data processing practices.

Qualificações

• Strong experience building and operating data pipelines in AWS.
• Solid understanding of relational databases and strong SQL skills.
• Hands-on experience with Amazon Athena for querying data.

Responsabilidades

• Develop and maintain data/ETL processes in AWS.
• Collaborate with teams to define data models and patterns.
• Build and optimize data pipelines using AWS services.

Ferramentas

AWS

SQL

Python

Amazon Athena

AWS Glue

Apache Iceberg

Kafka

Apache Flink

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