Senior Data Engineer – Brussels
il y a 2 semaines
The engineer works mainly on the engineering of (batch or near-realtime) data processing pipelines that run on the data platform and process data into the data lake and/or warehouse (DWH). Data is first ingested to the platform on a landing zone (AWS S3) and from there made available on the (cloud) data lake and data warehouse where it is used to build domain-oriented data products for AI/ML, BI, and data integration use cases.
The engineer will be part of an agile engineering team with a focus on the delivery of business value while following architectural guidelines and best practices.
Way of working keywords: Agile principles, continuous improvement, peer reviewing/pull requests, clean code, testing. Good listening and communication skills (can talk both with business and IT stakeholders).
Responsibilities- Creating technical designs for data products that support AI, BI, and/or data integration use cases.
- Building, maintaining, and running E2E data pipelines according to defined architectural guidelines, development patterns, standards, and guidelines.
Hands-on, proven experience with the following:
- SQL
- Python & PySpark
- Snowflake
- Airflow
- JSON, Parquet
- Building data pipelines with Dbt
- Data processing in an AWS cloud environment: AWS services (S3, Glue, Athena, AppFlow, DMS, etc.) & IAM
Fluent in English (verbal and in writing), Dutch or French optional.
Experience with, notions of, or profound interest in the following (nice to have):
- Qlik
- Event-based data processing
* You can work in a hybrid environment: 2 days onsite at the office of our client / 3 days remote.
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