Data Engineer

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

Resumo da oferta

A technology solutions company is seeking an experienced Data / ETL Engineer with strong skills in AWS to build and operate data pipelines. The ideal candidate will have a solid understanding of relational databases, strong SQL, and Python development experience, particularly for data processing. Familiarity with Amazon Athena, AWS Glue, and Apache Iceberg is preferred. This role requires collaboration with various teams around data models and is aligned with the Denmark time zone.

Qualificações

• Solid understanding of relational databases, with strong SQL skills.
• Strong Python development skills, particularly for ETL workloads.
• Hands‑on experience with Amazon Athena for querying data in data lakes.

Responsabilidades

• Build and operate data pipelines in AWS.
• Collaborate with engineers, analysts, and stakeholders around data models.

Conhecimentos

SQL Skills

Python Development

AWS Glue

Amazon Athena

Apache Iceberg

Streaming Data Pipelines

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