Data Engineer
Há 6 dias
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)
General expectations:
• Able to design scalable, reliable data pipelines
• Comfortable working with modern data lake architectures in AWS
• Experience collaborating with engineers, analysts, and stakeholders around data models and ingestion patterns
• Strong English skills
- To work in the Denmark time zone
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