Data Engineer

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

Resumo da oferta

A tech consulting firm is seeking a Data / ETL Engineer with strong experience in AWS to build and operate data pipelines. Candidates should have solid relational database knowledge, strong SQL and Python skills, and hands-on experience with AWS Glue and Amazon Athena. This role involves collaboration with various stakeholders to ensure effective data ingestion strategies and requires working in the Denmark time zone.

Qualificações

• Solid understanding of relational databases, experience with Microsoft SQL Server preferred.
• Strong Python development skills for data processing.
• Hands-on experience with AWS Glue and Glue Data Catalog.

Responsabilidades

• Build and operate data pipelines in AWS.
• Collaborate around data models and ingestion patterns.
• Work in the Denmark time zone.

Conhecimentos

Strong SQL skills

Python development

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