Data Engineer

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

Resumo da oferta

A technology company is seeking a Data / ETL Engineer with strong experience in building and operating data pipelines in AWS. The ideal candidate will have solid SQL and Python skills, along with expertise in Amazon Athena and AWS Glue. This position requires working across teams to develop data models and ingestion patterns. The role is based in Brazil, Paraná, Londrina but requires flexibility to work in the Denmark time zone.

Qualificações

• Strong SQL skills, experience with Microsoft SQL Server preferred.
• Strong experience in Python for data processing and ETL workloads.
• Hands-on experience with Amazon Athena and AWS Glue.

Responsabilidades

• Build and operate data pipelines in AWS.
• Collaborate with engineers and analysts to define data models.
• Work with modern data lake architectures in AWS.

Conhecimentos

SQL

Python

Amazon Athena

AWS Glue

Apache Iceberg

AWS data services

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