Observability Grafana Engineer
1 week ago
Job Title:
Observability Grafana Engineer
Experience Level: - 8 years
Employment Type - Full time
Location:
Bangalore
Notice Period:
Immediate
Job Description
Overview
We are seeking an experienced Observability Grafana Engineer to join our team.
The ideal candidate will have a strong background in developing observability stacks in highly scaled, distributed systems with large data volumes.
This role requires expertise in Open Telemetry, Kafka, Prometheus, and Grafana, along with experience in writing ETL and analytics pipelines.
Familiarity with big data platforms such as Datalakehouse, Spark pipelines, Airflow, and Superset will be a significant advantage.Key Responsibilities
Develop and Maintain Observability Stack:
Design, implement, and manage an observability stack to monitor and analyze the performance of highly scaled distributed systems.
Utilize Open Telemetry, Kafka, Prometheus, and Grafana to build a robust observability framework.
ETL and Analytics Pipelines:
Develop and manage ETL processes to ensure efficient data extraction, transformation, and loading.
Build and maintain analytics pipelines to support data-driven decision-making.
Big Data Platform Integration:
Work with big data platforms such as Datalakehouse, Spark, Airflow, and Superset to handle and analyze petabyte-scale data.
Optimize data workflows and ensure seamless integration with existing data infrastructure.
Performance Monitoring and Troubleshooting:
Continuously monitor system performance and reliability.
Troubleshoot and resolve issues within the observability stack and data pipelines.
Collaboration and Documentation:
Collaborate with cross-functional teams to define observability requirements and implement solutions.
Document processes, configurations, and best practices to ensure maintainability and knowledge sharing.
Skills & Requirements
Technical Expertise:
Proven experience in developing and managing observability stacks for large-scale distributed systems.
Strong proficiency with Open Telemetry, Kafka, Prometheus, and Grafana.
Experience in writing and maintaining ETL and analytics pipelines.
Big Data Platforms:
Familiarity with big data technologies such as Datalakehouse, Spark, Airflow, and Superset is a plus.
Analytical and Problem-Solving Skills:
Excellent analytical skills with a focus on system performance and reliability.
Strong problem-solving abilities and attention to detail.
Communication and Collaboration:
Excellent written and verbal communication skills.
Ability to work effectively in a collaborative team environment.
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