Data Engineer

Emagine - Portugal; Teletrabalho; BRL 60.000 - 80.000; Tempo integral

Resumo da oferta

A known tech company is seeking a Data / ETL Engineer with strong skills in building and operating data pipelines using AWS. The ideal candidate has solid experience with SQL, Python, and AWS Glue, and will work within the Denmark time zone. Responsibilities include collaborating with teams on data models and managing modern data lake architectures. This role is critical for driving data-driven decisions and optimizing data workflows.

Qualificações

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

Responsabilidades

• Build and operate data pipelines in AWS.
• Work with modern data lake architectures using AWS services.
• Collaborate with engineers and analysts on data models.

Conhecimentos

SQL skills

Python development

AWS Glue

Amazon Athena

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