Monitoring Engineer/Observability Engineer
7 days ago
Responsibilities:
- Proficiency in data engineering tools (e.g., Apache Kafka, Spark, SQL) and observability platforms (e.g., Grafana, Prometheus, Elastic Stack, Datadog).
- Solid understanding of data modeling, ETL pipelines, and data integration techniques.
- Experience with cloud infrastructure (e.g., AWS, Azure, GCP) and container orchestration (e.g., Kubernetes) is highly desirable.
- Familiarity with scripting languages such as Python, Bash, or PowerShell for automation tasks.
- Good to have Certification in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer) or observability tools.
- Familiarity with Site Reliability Engineering (SRE) practices and Agile methodologies.
Qualifications:
- Degree in Computer Science, Data Engineering, or a related field.
- 3+ years of experience in data engineering or observability engineering, preferably in complex, large-scale environments
- Strong analytical skills and experience with real-time monitoring, alerting, and troubleshooting.
- Experience in implementing predictive analytics, anomaly detection, and data-driven incident management solutions
- Understanding of Banking or Financial Services
- Ability to balance competing priorities, workloads and tight timelines in a fast-paced, dynamic work environment
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