Data Analytics

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Location:

Employment Type:

As an SRE in the Analytics domain, you will bridge the gap between data engineering, observability, and reliability operations — helping teams make data-driven decisions to improve availability, performance, and operational excellence.

Key Responsibilities

• Design, build, and maintain

  data pipelines

  and

  analytics platforms

  that deliver actionable insights into system performance, availability, and reliability.
• Develop

  dashboards and visualizations

  (Grafana, Tableau, Looker, etc.) to monitor key SRE metrics such as SLOs, SLIs, error budgets, and capacity trends.
• Partner with SREs, DevOps, and product teams to analyze incident data, automate reporting, and identify recurring reliability issues.
• Support

  data ingestion and aggregation

  from multiple sources (CloudWatch, Prometheus, ELK, Datadog, Splunk, etc.) into a unified analytics layer.
• Build and maintain

  automation scripts

  and

  data models

  for performance and reliability insights.
• Drive

  post-incident analysis

  and trend reporting to inform long-term reliability improvements.
• Collaborate with business stakeholders to translate operational data into measurable reliability KPIs.
• Ensure data quality, governance, and availability for all reliability-related analytics systems.

Qualifications

Required Skills:

• Bachelor’s or master’s degree in computer science, or related field.
• 3+ years of experience as an

  SRE, DevOps Engineer, or Data Engineer

  in large-scale, cloud-native environments.
• Strong experience with

  AWS, GCP, or Azure

  platforms.
• Hands-on experience with

  data analytics tools

  (e.g., Python, SQL, Pandas, PySpark).
• Familiarity with

  monitoring and observability stacks

  (e.g., Prometheus, Grafana, ELK, Datadog).
• Strong understanding of

  SRE concepts

  — SLIs, SLOs, error budgets, and incident management.
• Excellent problem-solving, analytical, and communication skills.

Preferred Skills:

• Experience with

  data visualization

  tools (Grafana, Power BI, Tableau, Looker).
• Familiarity with

  machine learning for anomaly detection

  in reliability data.
• Experience automating reporting and dashboards using

  AWS Glue, Athena, or Lambda

  .
• Knowledge of

  CI/CD pipelines

  and

  Infrastructure as Code

  (Terraform, CloudFormation).
• Familiarity with

  ITSM/CMDB systems

  and integrating reliability analytics into operational workflows.