Application Support Engineer

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Data Engineering Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Job Role Summary In this role, the candidate will serve as a Monitoring Data Pipeline Engineer, responsible for designing, building, and maintaining robust, scalable, and highly observable data pipelines that ensure reliable data flow across the enterprise. The position emphasizes end to end observability, including metrics, logs, traces, data quality checks, and pipeline performance monitoring—to enable timely diagnostics, proactive issue prevention, and overall operational excellence. Job Role Responsibilities Build and maintain monitoring dashboards for data pipelines (latency, failures, SLAs). Design, develop, monitor, and troubleshoot Apache NiFi data flows for enterprise-scale data integration and ingestion. Implement distributed tracing and logging across ingestion, processing, and storage layers. Configure real time alerts using tools like Grafana, Datadog, Azure Monitor, CloudWatch, etc. Enhance pipeline performance through profiling, optimization, and scalability improvements. Ensure consistent metadata capture using Data Catalog tools. Investigate pipeline failures and performance issues. Conduct RCA and implement preventive automation. Work closely with Data Engineers, SRE/DevOps, Platform Teams, and Product Owners. Provide insights into pipeline health to business stakeholders. Influence the development of platform-wide observability standards. Job Role Requirements - Bachelor's/master s degree in computer science or equivalent with score 6 GPA and above - 4–8 years of experience in Data Engineering, Observability, or Platform Engineering - Strong understanding of modern data pipelines (batch and streaming). - Experience with at least one cloud ecosystem: Azure / AWS / GCP. - Proficiency in monitoring/observability platforms: Datadog, Grafana, CloudWatch, Azure Monitor, Dynatrace, etc. - Hands-on experience with: - Streaming frameworks (Kafka, Spark Streaming, EventHub, etc.) - Mandatory hands-on experience with Apache NiFi, including: - Flow design and development, Performance tuning, Troubleshooting and production support. - Monitoring and observability, Error handling and flow optimization - Hands-on experience with: Apache NiFi , Kafka, Spark Streaming, EventHub or equivalent streaming technologies - Good understanding of CI/CD, Docker, Kubernetes, APIs & Microservices. - Programming/scripting skills in Python, SQL, Bash, or similar - Experienced in modern monitoring tools in IT Ops domain - Proficient in tools for logging, alerting and monitoring onprem/cloud infrastructure, services and performance