Data Engineer

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

Resumo da oferta

A data solutions company seeks a Data / ETL Engineer to build and operate data pipelines in AWS. Candidates should have strong SQL skills and Python development experience, especially for data processing and ETL workloads. Familiarity with Amazon Athena and AWS Glue is essential, along with broad AWS knowledge and the ability to collaborate with cross-functional teams. This role requires working in the Denmark time zone, making timezone flexibility crucial to your successful integration in the team.

Qualificações

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

Conhecimentos

SQL skills

Python development

Amazon Athena

AWS Glue

Apache Iceberg

Broad AWS knowledge

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