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Azure Data Engineering

FreelanceJobs
Posted March 4, 2026

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PythonAzureKubernetesAirflow

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Job Description

I am looking for ongoing technical job support in a production Azure data engineering environment involving large-scale telemetry, hardware reliability analysis, and anomaly detection workflows.

The role requires hands-on guidance and review support in the following areas:

Core Technical Areas

  • PySpark (large-scale data filtering, aggregation, joins, optimization)
  • Delta & Parquet datasets
  • Azure Data Explorer (Kusto / KQL queries)
  • VM-level RCA and fault code correlation
  • Rack telemetry signal exploration (GPU, NIC, power, temperature, ECC, PCIe)
  • Hardware signal interpretation and component mapping
  • Statistical anomaly detection (z-score, baseline comparison, fleet analysis)

Infrastructure & Platform Understanding

  • Airflow DAG structure and job orchestration
  • Kubernetes runtime basics
  • Production data pipelines
  • Telemetry ingestion workflows
  • Correlating VM-level failures with hardware-level signals

Contract duration of 1 to 3 months. with 30 hours per week.

Mandatory skills:

Python, Data Science, Data Analysis, Statistics, Machine Learning

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