Data Engineer

Emagine - Portugal; Teletrabalho; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

A leading tech firm based in Santa Catarina, Brazil, 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, with experience in AWS services like Glue and Athena. Familiarity with streaming data pipelines is preferred. This role requires collaboration with engineers and analysts and operates primarily within the Denmark time zone, making remote work convenient.

Qualificações

• Strong experience building and operating data pipelines in AWS.
• Solid understanding of relational databases, preferably with Microsoft SQL Server.
• Experience with streaming data pipelines using Apache Flink is a plus.

Responsabilidades

• Build and operate data pipelines in AWS.
• Utilize SQL and Python for data processing and ETL workloads.
• Work with AWS Glue and Amazon Athena for data querying.

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