Dataops + Infra + Security Specialists

About the Role

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. As a Dataops + Infra + Security Specialists - Associate, you will support data and analytics engineering work within our Data, Analytics & AI practice, helping design and develop data solutions that turn raw data into usable insights for client needs.

Key Responsibilities

• Supporting data science and data engineering work across client projects, with a focus on data operations, infrastructure, and security practices.
• Building and maintaining data pipelines, data lakes, and data models that support exploratory analysis, statistical modeling, and visualization.
• Applying programming languages, machine learning tools, and AI-enabled methods to prepare data for analysis and model development.
• Running data quality checks, troubleshooting workflow issues, and identifying patterns that affect model performance or data reliability.
• Assisting in the development of predictive models, deep learning solutions, and natural language processing use cases.
• Gathering information from multiple sources to support analysis, interpret findings, and communicate clear observations to team members.
• Adapting to changing project needs and taking ownership of assigned tasks across varied client environments.
• Upholding professional and technical standards while developing skills in data science, data engineering, and digital tooling.

Requirements & Tech Stack

• Infrastructure Management: Terraform
• Security Fundamentals
• Data Pipeline Operations
• Monitoring
• Incident Response
• Automation
• Container Management: Docker

Qualifications

• At least a Bachelor's degree.
• At least 2 years of experience.
• Oral and written proficiency in English required.
• Developing experience with data engineering, dataops, or infrastructure support.
• Experience applying machine learning, data science, or data pipeline concepts in project settings.
• Experience using programming languages, statistical analysis, or data modeling tools.
• Ability to gather facts from multiple sources and analyze patterns.
• Ability to communicate ideas clearly, ask questions, and seek feedback.
• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering.