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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 data services company is seeking a Data / ETL Engineer with strong experience in AWS. The ideal candidate will have a solid understanding of relational databases and exceptional SQL and Python skills. Responsibilities include building and operating data pipelines, with hands-on experience using Amazon Athena and AWS Glue. Candidates must be familiar with data lake architectures and will work in the Denmark time zone.

Qualificações

  • Solid understanding of relational databases.
  • Strong experience in Python for data processing and ETL workloads.
  • Hands-on experience with Amazon Athena.

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

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