Data Engineer

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

Resumo da oferta

A leading data solutions company is seeking a Data / ETL Engineer in Minas Gerais, Brazil. The role focuses on building and managing data pipelines in AWS, requiring strong SQL and Python skills. Ideal candidates will have hands-on experience with AWS Glue, Amazon Athena, and relational databases. Additional knowledge of Apache Iceberg and working with data lake architectures is preferred. This position also requires collaboration with stakeholders on data models and ingestion patterns. The job pertains to the Denmark time zone.

Qualificações

• Strong experience building and operating data pipelines in AWS.
• Experience with Microsoft SQL Server preferred.
• Hands-on experience with AWS Glue and Data Catalog.

Responsabilidades

• Build and manage data pipelines in AWS.
• Process data using Python for ETL workloads.
• Query data using Amazon Athena in data lakes.

Conhecimentos

SQL skills

Python development

AWS Glue

Amazon Athena

Apache Iceberg

AWS Data Services 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