Accenture

Application Support Engineer

Accenture Bengaluru, Karnataka, India

Business Consulting and Services · 10,001+ employees

6 d ago
support-engineer Senior (5-10 yrs) Full-time India
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About the role

The candidate will design, build, and maintain scalable data pipelines while ensuring end-to-end observability through metrics, logs, and traces. They will also troubleshoot pipeline failures, perform root cause analysis, and implement preventive automation to ensure operational excellence.

What they look for

Apache NiFi Data Engineering Kafka Observability Python SQL Grafana Datadog CloudWatch Azure Monitor CI/CD Docker Kubernetes Streaming Frameworks Site Reliability Engineering RCA

Requirements

Candidates must have a bachelor's or master's degree in computer science and at least 7.5 years of experience in data engineering. Proficiency in Apache NiFi, streaming frameworks, cloud ecosystems, and monitoring tools is mandatory.

Full description

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 7.5 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 7.5 years of experience in Data Engineering. - This position is based at our Bengaluru office. - A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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