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Data Engineer -Observability & Insights Platform

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Remote

Job Type

Contractual

Job Description

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Key Responsibilities:

1. Observability Signal Correlation

  • Integrate and analyze logs, metrics, and traces using Grafana and Prometheus
  • Enrich observability data with business context for deeper insights

2. Data Enrichment & Pipeline Development

  • Build and maintain data pipelines that enhance technical signals with business metadata
  • Leverage OpenTelemetry (OTel) for observability instrumentation

3. Machine Learning Integration

  • Design, build, and deploy ML models for anomaly detection, forecasting, and incident noise reduction
  • Continuously improve ML models for greater accuracy and business value

4. Disruption Prediction & Risk Mitigation

  • Identify trends and patterns to predict business disruptions and support preemptive actions

5. Action Enablement

  • Deliver actionable observability insights through dashboards and tools
  • Support both automated and manual decision-making

6. Cross-Functional Collaboration

  • Work closely with IT, DevOps, and Business teams to align technical implementations with business goals

7. Continuous Improvement

  • Monitor and optimize data pipelines for accuracy, reliability, and performance


Required Skills & Qualifications:
  • Proven experience as a Data Engineer or similar role focused on observability and analytics
  • Strong proficiency in SQL and Python
  • Hands-on experience with Google Cloud Platform (GCP)
  • Expertise in BigQuery, Grafana, Prometheus, and Splunk
  • Familiarity with OpenTelemetry (OTel)
  • Experience with big data tools such as Apache Spark, Kafka, and Airflow


Machine Learning & Analytical Expertise:
  • Applied machine learning techniques for anomaly detection and forecasting
  • Ability to reduce alert noise and provide high-value insights
  • Strong analytical skills for interpreting complex datasets


Soft Skills:
  • Excellent communication and collaboration skills
  • Strong problem-solving mindset
  • Passion for using data to solve real business problems


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