Tech S And T - DevOps Engineer - ISR - Senior - GDSF02

Ernst & Young Advisory Services Sdn Bhd; Dadri; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Ernst & Young Advisory Services Sdn Bhd is seeking a Senior DevOps Engineer (ISR - GDSF02) to lead and implement robust data engineering pipelines in Noida. You will design data models, build scalable pipelines, and collaborate with data scientists to enable analytics and ML initiatives.

The role emphasizes strong Terraform skills, multi-cloud experience, Kubernetes orchestration, and mature CI/CD practices. Join EY to contribute to secure, reliable data platforms and mentoring of engineers.

Qualifications

• 5+ years hands-on Cloud and DevOps experience with leadership.
• Expert proficiency in Terraform and at least two major cloud platforms (AWS, Azure, GCP).
• Strong hands-on experience with Kubernetes, Helm charts, and CI/CD pipelines (Jenkins, GitLab CI).
• Proficiency in Python and scripting (Bash/PowerShell).
• Experience with configuration management (Ansible, Puppet) and DevSecOps principles.

Responsibilities

• Develop and maintain scalable data pipelines using tools like Kafka, Spark, or AWS Glue.
• Design data models in data warehouses and data lakes to support analytics.
• Collaborate with data scientists to ensure data availability for analytics and ML.
• Implement CI/CD for data engineering workflows; automate deployment of pipelines.
• Mentor junior data engineers and contribute to best practices in data engineering.

Skills

Leadership

Communication

Mentoring

Cloud & DevOps

Education

B.Tech / BS in Computer Science

Masters in CS (advantage)

Tools

Terraform

Kubernetes

Python

CI/CD

Ansible

Security tools

Monitoring tools

Job description

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Tech S And T - DevOps Engineer - ISR - Senior - GDSF02

Location: Noida

Other locations: Anywhere in Country

Date: Sep 10, 2026

Requisition ID: 1741242

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job Description

• Develop and maintain scalable data pipelines using tools like Apache Kafka, Apache Spark, or AWS Glue to ingest, process, and transform large datasets from various sources, ensuring efficient data flow and processing.
• Design and implement data models and schemas in data warehouses (e.g., Amazon Redshift, Google BigQuery) and data lakes (e.g., AWS S3, Azure Data Lake) to support analytics and reporting needs.
• Collaborate with data scientists and analysts to understand data requirements, ensuring data availability and accessibility for analytics, machine learning, and reporting.
• Utilize ETL tools and frameworks (e.g., Apache NiFi, Talend, or custom Python scripts) to automate data extraction, transformation, and loading processes, ensuring data quality and integrity.
• Monitor and optimize data pipeline performance using tools like Apache Airflow or AWS Step Functions, implementing best practices for data processing and workflow management.
• Write, test, and maintain scripts in Python, SQL, or Bash for data processing, automation tasks, and data validation, ensuring high code quality and performance.
• Implement CI/CD practices for data engineering workflows using tools like Jenkins, GitLab CI, or Azure DevOps, automating the deployment of data pipelines and infrastructure changes.
• Collaborate with DevOps teams to integrate data solutions into existing infrastructure, leveraging Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation for provisioning and managing resources.
• Manage containerized data applications using Docker and orchestrate them with Kubernetes, ensuring scalability and reliability of data processing applications.
• Implement monitoring and logging solutions using tools like Prometheus, Grafana, or ELK Stack to track data pipeline performance, troubleshoot issues, and ensure data quality.
• Ensure compliance with data governance, security best practices, and data privacy regulations, embedding DevSecOps principles in data workflows.
• Participate in code reviews and contribute to the development of best practices for data engineering, data quality, and DevOps methodologies.
• Mentor junior data engineers, providing guidance on data engineering practices, data architecture, and DevOps tools and techniques.
• Contribute to the documentation of data architecture, processes, and workflows for knowledge sharing, compliance, and onboarding purposes.
• Demonstrate strong communication skills to collaborate effectively with cross-functional teams, including data science, analytics, and business stakeholders.

Desired Profile

• Seeking a DevOps Engineer with 5+ years of hands‑on Cloud and DevOps experience, including significant leadership. Requires a Bachelor's/master’s in computer science.
• Must have expert proficiency in Terraform and extensive experience across at least two major cloud platforms (AWS, Azure, GCP). Strong hands‑on experience with Kubernetes, Helm charts, and designing/optimizing CI/CD pipelines (e.g., Jenkins, GitLab CI) is essential. Proficiency in Python and scripting (Bash/PowerShell) is also a must.
• Valued experience includes leading cloud migrations, contributing to RFP/RFI processes, and mentoring teams. Excellent problem‑solving, communication, and collaboration skills are critical. Experience with configuration management (Ansible, Puppet) and DevSecOps principles is required; OpenShift is a plus.

Experience ; 8-10 years

Education : B.Tech. / BS in Computer Science

Technical Skills & Certifications

• Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure Administrator, Google Professional Cloud Architect).
• Terraform, Kubernetes, Python, CI/CD, Ansible, Security tools, Monitoring tools.

EY | Building a better working world

EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

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