Accenture

Accenture

Posted via Workday

Application Support Engineer

Posted Oct 15, 2026

Role at a glance

Job function
AI & Data Data Engineering
Salary
Not Disclosed
Location
Bengaluru
Employment
Full-time
Experience
Minimum 7.5 year(s) of experience is required

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Role Summary

AI-generated

Designs, builds, and maintains scalable, observable data pipelines and enterprise data flows, with a focus on reliable data movement, monitoring, and operational diagnostics.

What You'll Do

  • Build and maintain dashboards tracking data pipeline latency, failures, and SLAs.
  • Design, develop, monitor, and troubleshoot Apache NiFi data flows for enterprise data integration and ingestion.
  • Implement distributed tracing and logging, configure real-time alerts, and ensure metadata capture.
  • Profile and optimize pipeline performance and scalability.
  • Investigate pipeline failures and performance issues, conduct root-cause analysis, and implement preventive automation.
  • Work with Data Engineers, SRE/DevOps, Platform Teams, and Product Owners; share pipeline health insights and influence observability...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Required qualifications include a bachelor's or master's degree in computer science or equivalent, with a score of 6 GPA and above, and 15 years of full-time education. The posting lists both a minimum of 7.5 years of Data Engineering experience and 4–8 years of experience in Data Engineering, Observability, or Platform Engineering. It also requires data pipeline and observability skills; Apache NiFi; experience with at least one of Azure, AWS, or GCP; streaming technologies such as Kafka, Spark Streaming, or EventHub; monitoring tools such as Datadog, Grafana, CloudWatch, Azure Monitor, or Dynatrace; Python, SQL, Bash, or similar; and knowledge of CI/CD, Docker, Kubernetes, APIs, microservices, GitHub, RDBMS, SDLC, logging, alerting, and monitoring. Communication skills and familiarity with Agile methodologies and project execution are also listed.

Required

  • Bachelor's/master s degree in computer science or equivalent with score 6 GPA and above
  • A 15 years full time education is required
  • 4–8 years of experience in Data Engineering, Observability, or Platform Engineering
  • Minimum 7.5 year(s) of experience is required
  • The candidate should have minimum 7.5 years of experience in Data Engineering.
  • Strong understanding of modern data pipelines (batch and streaming); experience with at least one cloud ecosystem (Azure / AWS / GCP);...

Preferred

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

Original job description

Content provided by the employer

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.

Accenture

About the company

Accenture

Large Enterprise

Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.