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Senior Data Engineer, Network Intelligence
Xplore Inc.
Remote, CAN
Full-time
Senior · 7+ years experience
Remote
Discovered 2 weeks ago
DatabricksPySparkDelta Live TablesDatabricks WorkflowsDelta LakeUnity Catalog
Free
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Role Overview
As a Senior Data Engineer on the Network Intelligence team, you will own the end-to-end data pipeline function that powers Xplore's network analytics, observability, and AI capabilities across Fiber, Fixed Wireless, and Satellite platforms in both cloud and on-prem environments.
You will design and operate the Bronze-to-Silver-to-Gold medallion pipelines for all network telemetry domains, ensuring that on-premise network modeling outputs are reliably structured, governed, and delivered as trusted enterprise Gold-tier assets.
This role spans both cloud and on-premises platforms, including building, maintaining, and optimizing data pipelines and supporting infrastructure on-prem—not just migrating workloads to the cloud.
Your work directly underpins predictive analytics, ML model training, and operational dashboards consumed by network engineering, operations, and executive audiences.
You will work in a cross-functional squad alongside the Network Intelligence & Automation Specialist, Data Scientists, and value-stream AI/Observability engineers, contributing to platform standards and mentoring intermediate engineers on the team.
Key Skills for This Role
DatabricksPySparkDelta Live TablesDatabricks WorkflowsDelta LakeUnity Catalog
Full Job Posting
The ideal candidate will possess
7+ years of experience in data engineering with production-grade pipeline development.
Expert-level Databricks experience: Spark optimization, Delta Lake, Unity Catalog, and Databricks Workflows or Delta Live Tables.
Strong Python and PySpark for production data engineering.
Solid understanding of medallion architecture (Bronze / Silver / Gold) and enterprise data governance principles.
Experience with streaming or near-real-time ingestion patterns: Kafka, Event Hubs, or Databricks Auto Loader.
Proficiency with Azure Data Lake Storage Gen2 and Azure-based data platform components.
Solid data modeling skills for time-series and high-frequency event datasets.
Strong communication skills and demonstrated mentorship experience
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