Python Data Engineer

Overview

We are looking for a Data Engineer with Analytics for our Consumer Protection Team to transform operational analytics for the consumer protection team to analyze customer and internal data, improving both what our products deliver and how they are delivered. Drive efficiency of the CP organization and enhance effectiveness and reliability of CP products through scalable data pipelines, AI-powered insights, and real-time monitoring. Lead proof-of-concepts using internal and external data sources to build insights, translate them into tools to improvise the solutions. Contribute to production solutions for customer-facing products and internal developer productivity tools.

This is a Hybrid position located at our Bangalore, India, development center. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Bangalore office and are not offering relocation assistance at this time.

About The Role

• Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization.
• Design solutions to combine data sources, external and internal to drive enhanced consumer experience.
• Ensure data quality, integrity, and security.
• Build and automate near real-time dashboards for product health, system health, security monitoring, and operational issue detection.
• Develop scalable ETL pipelines processing large-volume telemetry across heterogeneous systems.
• Create automated data quality validation frameworks.
• Drive and optimize data insights and solutions leveraging AI.
• Optimize polyglot codebase using AI across Android, iOS, macOS, and Windows.
• Ensure seamless AI integration while maintaining platform-specific performance.
• Develop MCP servers for AI model deployment and workflow management.
  
  

• You should have 5 to 7 plus years of Data Engineering and 1 plus year of AI/ML experience
• You have Python proficiency; knowledge of Flutter/Dart and Swift awareness.
• You have experience of Spark, Kafka, ETL pipelines, data warehousing (Snowflake, BigQuery).
• TensorFlow, PyTorch, scikit-learn experience and LLM integration knowledge with OpenAI API, Claude API or LangChain.
• Knowledge of Cloud platforms: AWS/Azure/GCP with AI/ML services focus
• Experience with Databases: SQL/NoSQL (PostgreSQL, MongoDB, Redis)
• Cybersecurity platform knowledge and MCP implementation experience.
• Cross-platform development (Windows, macOS, iOS, Android).
• API development (REST, GraphQL) and real-time systems.
• MLOps and model lifecycle management.
  
  

McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.

Company Benefits And Perks:

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We’re proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we’ve built where people feel seen, valued, and energized to reach their full potential and thrive.

We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement
  
  

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.