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Data Engineer

Emagine - Portugal

Teletrabalho

BRL 80.000 - 120.000

Tempo integral

Hoje
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Resumo da oferta

A leading data solutions company is seeking a Data / ETL Engineer to build and operate data pipelines primarily in AWS. The ideal candidate will have strong experience with SQL, Python, Amazon Athena, and AWS Glue, as well as a solid understanding of data lake management using Apache Iceberg. This role requires the ability to operate in the Denmark time zone. The company values collaboration and modern data solutions.

Qualificações

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

Conhecimentos

SQL skills
Python development
Amazon Athena
AWS Glue
Apache Iceberg
Broad AWS knowledge
Descrição da oferta de emprego

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

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