Data Engineer

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

Resumo da oferta

A leading tech firm is seeking a Data / ETL Engineer to build and operate data pipelines in AWS. The ideal candidate should have strong SQL and Python skills, hands-on experience with Amazon Athena and AWS Glue, and knowledge of Apache Iceberg. This role requires working in the Denmark time zone and involves collaborating with engineers, analysts, and stakeholders on data models. Join a dynamic team focused on data-driven solutions.

Qualificações

• Strong experience building and operating data pipelines in AWS.
• Solid understanding of relational databases, preferably with Microsoft SQL Server.
• Hands-on experience with AWS Glue and Glue Data Catalog.

Conhecimentos

Strong SQL skills

Python development for data processing

Experience with Amazon Athena

Experience with AWS Glue

Knowledge of Apache Iceberg

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