Senior Data Engineer
MarvikArgentina, Chile + 6 more
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Opens the original posting on Himalayas.
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This is a hands-on building role: you turn raw, messy fabrication data into the clean, well-modeled, AI-ready datasets that our AI/ML and analytics workloads run on 🚀
🧑🏻💻 Responsibilities:
Pipeline Development & Operation: Build and operate scalable ingestion, ELT/ETL, and orchestration pipelines (batch and real-time streaming) within Microsoft Fabric and cloud lakehouse environments.
Real-Time Data Ingestion: Design and implement low-latency, real-time data ingestion flows to support live operational analytics and streaming workloads.
Data Modeling & Layering: Implement layered (medallion-style: Bronze/Silver/Gold) architectures using PySpark/SQL with idempotent, backfillable, and incrementally loaded jobs.