Data Engineer

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

Resumo da oferta

A leading tech company is looking for a Data / ETL Engineer with strong experience in building and operating data pipelines in AWS. Key responsibilities include utilizing SQL and Python for data processing, working with Amazon Athena, and AWS Glue. The role demands solid AWS knowledge and experience with modern data lake architectures. Candidates with familiarity in Apache Flink and Kafka are preferred. The position requires adapting to the Denmark time zone, offering an exciting opportunity to work in dynamic environments.

Qualificações

• Solid understanding of relational databases, with strong SQL skills.
• Strong Python development skills for data processing and ETL.
• Hands-on experience with Amazon Athena.
• Experience with AWS Glue including Glue Data Catalog.
• Knowledge of Apache Iceberg for data lake management.

Conhecimentos

SQL skills

Python development

AWS Glue

Amazon Athena

Apache Iceberg

AWS knowledge

Ferramentas

Microsoft SQL Server

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