Job Title

Job Title: Data AnalyticsLocation: India OffshoreEmployment Type: Full-timeAs 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.QualificationsRequired 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.