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Senior Data Warehouse Consultant
Job in
Town of Belgium, Belgium, Ozaukee County, Wisconsin, 53004, USA
Listed on 2026-03-05
Listing for:
Atos
Full Time
position Listed on 2026-03-05
Job specializations:
-
IT/Tech
Data Engineer, Data Warehousing
Job Description & How to Apply Below
- Development and maintenance of a fully open-source Data Lakehouse.
- Design and development of data pipelines for scalable and reliable data workflows to transform extensive quantities of both structured and unstructured data.
- Data integration from various sources, including databases, APIs, data streaming services and cloud data platforms.
- Optimisation of queries and workflows for increased performance and enhanced efficiency.
- Writing modular, testable and production-grade code.
- Ensuring data quality through monitoring, validation and data quality checks, maintaining accuracy and consistency across the data platform.
- Elaboration of test programs.
- Document processes comprehensively to ensure seamless data pipeline management and troubleshooting.
- Assistance with deployment and configuration of the system.
- Extensive hands-on experience as Data Engineer or Data Architect in modern cloud-based open-source data platform solutions and on data analytics tools.
- Excellent knowledge of data warehouse and/or data lakehouse design & architecture.
- Excellent knowledge of open-source, code-based data transformation tools such as dbt, Spark and Trino.
- Excellent knowledge of SQL.
- Good knowledge of Python.
- Good knowledge of open-source orchestration tools such as Airflow, Dagster or Luigi.
- Experience with AI-powered assistants like Amazon Q that can streamline data engineering processes.
- Good knowledge of relational database systems.
- Good knowledge of event streaming platforms and message brokers like Kafka and Rabbit
MQ. - Extensive experience in creating end-to-end data pipelines and the ELT framework.
- Understanding of the principles behind storage protocols like Apache Iceberg or Delta Lake.
- Proficiency with Kubernetes and Docker/Podman.
- Good knowledge of data modelling tools.
- Good knowledge of online analytical data processing (OLAP) and data mining tools.
- Ability to participate in multilingual meetings.
- Ability to work with a high degree of rigour and method and, more specifically, to follow naming conventions and coding standards.
Position Requirements
10+ Years
work experience
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