Data Engineer

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

Resumo da oferta

A leading tech company is seeking a Data / ETL Engineer to build and operate data pipelines in AWS. The ideal candidate will have strong skills in SQL and Python, hands-on experience with AWS Glue, and familiarity with Amazon Athena. This position requires collaboration with cross-functional teams to enhance data ingestion patterns and models. The role is based in Brazil and involves working in the Denmark time zone.

Qualificações

• Strong experience in building and operating AWS data pipelines.
• Solid understanding of relational databases preferred.
• Hands-on experience with AWS Glue and related services.

Responsabilidades

• Build and maintain data pipelines in AWS.
• Query data efficiently using Amazon Athena.
• Collaborate with teams on data models and ingestion.

Conhecimentos

SQL skills

Python development

Amazon Athena

AWS Glue

Apache Iceberg

AWS data services

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