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

Good understanding of analysis, design, implementation, testing, monitoring - SDLC

Strong knowledge of the version control system (e.g. GitHub)

Good database knowledge. Understanding concept of RDBMS i.e. nested queries, records maintenance.

Knowledge of IT Operations space and Site Reliability Engineer job role is an added advantage

Soft skills

Excellent written and verbal communication skills

Agile methodologies and project execution

Technical Skills

Apache NiFi (Mandatory)

Kafka

Data Pipeline Monitoring & Observability

AWS / Azure / GCP

Python & SQL

Grafana / Datadog / CloudWatch / Azure Monitor

CI/CD, Docker & Kubernetes

RCA, Alerting & Troubleshooting

Data Engineering (Batch & Streaming)

GitHub

Additional Information:

• The candidate should have minimum 5 years of experience in Data Engineering.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.