Build a data analytics platform that transforms raw IT operational data into actionable insights. Ingest data from ITSM and monitoring systems, apply machine learning to identify patterns, predict incidents, and recommend optimizations. Deliver interactive dashboards and reports to help IT teams make data-driven decisions.

Tech stack and tools:

• Data/compute: Apache Spark, Data Lake
• Programming/ML: Python, pandas, NumPy, scikit-learn, TensorFlow
• Streaming & storage: Apache Kafka, PostgreSQL

Key deliverables:

• Data ingestion pipelines from ITSM/monitoring tools
• Feature engineering for incident prediction and anomaly detection
• ML models for forecasting and recommendations
• BI dashboards and reporting for operations stakeholders

Timeline and process:

• Application deadline: January 18, 2026
• Webex & project clarification: From January 22, 2026
• Final confirmation: January 30, 2026