Dataops + Infra + Security Specialists - Associate

Overview

As a Dataops + Infra + Security Specialists - Associate, you will support data and analytics engineering work within the Data, Analytics & AI practice, helping design and develop data solutions that turn raw data into usable insights for client needs. You will contribute to exploratory and descriptive analysis, statistical modeling, data visualization, and technical tasks across data operations, infrastructure, and security topics.

What you'll do

• Support data science and data engineering work across client projects, with a focus on data operations, infrastructure, and security practices.
• Build and maintain data pipelines, data lakes, and data models that support exploratory analysis, statistical modeling, and visualization.
• Apply programming languages, machine learning tools, and AI-enabled methods to prepare data for analysis and model development.
• Run data quality checks, troubleshoot workflow issues, and identify patterns that affect model performance or data reliability.
• Assist in developing predictive models, deep learning solutions, and natural language processing use cases.
• Gather information from multiple sources to support analysis, interpret findings, and communicate clear observations to team members.
• Adapt to changing project needs and take ownership of assigned tasks across varied client environments.
• Uphold professional and technical standards while developing skills in data science, data engineering, and digital tooling.

What you'll need

• At least a Bachelor's degree.
• At least 2 years of experience.
• Oral and written proficiency in English.

Nice to have

• 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, or Systems Engineering.
• Developing experience with data engineering, dataops, or infrastructure support.
• Applying machine learning, data science, or data pipeline concepts in project settings.
• Using programming languages, statistical analysis, or data modeling tools.
• Gathering facts from multiple sources and analyzing patterns.
• Communicating ideas clearly, asking questions, and seeking feedback.
• Infrastructure Management.
• Terraform.
• Security Fundamentals.
• Data Pipeline Operations.
• Monitoring.
• Incident Response.
• Automation.
• Container Management (Docker).

Details

• Location: Bangalore.