Data Engineer

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

Resumo da oferta

A leading data solutions provider is seeking a Data/ETL Engineer to build and operate data pipelines in AWS. The ideal candidate will possess solid SQL and Python skills, along with hands-on experience using AWS services like Athena and Glue. This role requires collaboration with engineers and analysts to ensure efficient data processing and modeling. The job will operate in the Denmark time zone, offering a unique opportunity for those looking to expand their data engineering skills within a dynamic environment.

Qualificações

• Solid understanding of relational databases, with strong SQL skills.
• Strong Python development skills for data processing and ETL workloads.
• Hands-on experience with Amazon Athena for querying data.

Responsabilidades

• Build and operate data pipelines in AWS.
• Collaborate with engineers, analysts, and stakeholders.

Conhecimentos

SQL

Python

AWS 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