Data Engineer
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- Build and maintain end-to-end data pipelines using Microsoft Fabric (Data Engineering, Data Factory, OneLake, Lakehouse, Warehouses)
- Develop ELT transformations with dbt (models, testing, documentation, lineage)
- Implement medallion architecture (Bronze/Silver/Gold)
- Create robust data models (facts, dimensions, marts) for BI and analytics
- Work with diverse data sources (APIs, databases, SaaS platforms)
- Ensure data governance, security, and CI/CD best practices What you’ll bring
- Strong experience with Microsoft Fabric and dbt
- Advanced SQL and solid Spark/PySpark skills
- Experience with ELT, data modeling, and modern data warehousing
- Familiarity with Git and CI/CD workflows
- Ability to own solutions end-to-end in a fast-paced environment Nice to have
- Experience in telecommunications or large-scale data environments
- Exposure to network performance or shared data ecosystems If you enjoy building modern data platforms and solving complex data challenges, this could be a strong fit.
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