Senior Data Engineer

Role Overview: As a Senior Data Engineer at McAfee, you will help implement analytics, reporting, and data driven decision making solutions for critical business metrics. This is a hands on role focused on developing high quality data solutions in close collaboration with analytics, data science, and product teams. 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. Position Details:

About the Role:

You will work closely with stakeholders to translate data requirements into practical and scalable technical solutions.

You will develop, maintain, and optimize data models, queries, and reporting frameworks.

You will support both batch and near real-time data processing use cases to ensure timely data availability.

You will implement robust data quality checks, monitoring systems, and documentation to maintain reliable datasets.

You will create insightful reports connecting product and bookings data while recommending strategic initiatives.

You will collaborate with data scientists to enable advanced analytics and machine learning capabilities.

You will ensure secure data handling, follow SDLC best practices, and continuously adopt new tools and techniques in data engineering.

About You:

You should have 10–15 years of experience in data engineering or a related field.

You should have strong programming skills in Python (preferred) or Scala/Java.

You should have hands-on experience with modern data tools such as Databricks, Spark, or similar technologies.

You should have experience working with cloud platforms like AWS, Azure, or GCP data services.

You should have solid SQL expertise along with a strong understanding of data modeling and data warehousing concepts.

You should have familiarity with data quality, monitoring, reliability practices, and experience collaborating with analysts, data scientists, or product teams.

You should have strong problem-solving skills, a collaborative mindset, and ideally exposure to Docker, streaming data, ML pipelines, GenAI/LLM, and DataOps practices.

#LI_Hybrid

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

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