Data Engineer

Emagine - Portugal; Teletrabalho; BRL 70.000 - 90.000; Tempo integral

Resumo da oferta

A leading technology firm is seeking a Data / ETL Engineer with strong experience in AWS to build and operate data pipelines. The ideal candidate will have solid SQL skills and proficiency in Python, with a preference for those familiar with data lake architectures and tools like Amazon Athena and AWS Glue. This role requires collaboration with various stakeholders and operates within the Denmark time zone.

Qualificações

• Experience building and operating data pipelines in AWS.
• Strong experience with SQL and relational databases.
• Hands-on experience with AWS data services.

Responsabilidades

• Building and maintaining data pipelines using AWS.
• Collaborating with teams on data models and ingestion.
• Ensuring operational best practices in data handling.

Conhecimentos

SQL skills

Python development

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