SRE Analytics Engineer

3 days ago

Bangalore, India Movate Full time

Job Title: Data Analytics Location: India Offshore Employment Type: Full-time 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.

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