PepsiCo
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Hyderabad · Hybrid · 10-13 Yrs · Nov 2
Food & Beverage Manufacturing · 10000+ Employees · Purchase, US
PepsiCo is a global food and beverage leader with a product portfolio including 22 brands that generate more than $1 billion each in annual retail sales. Our main businesses – Quaker, Tropicana, Gatorade, Frito-Lay and Pepsi-Cola – make hundreds of enjoyable foods and beverages that are loved throughout the world. At PepsiCo, you get the best of both worlds: an entrepreneur’s mindset plus reach and resources. Our collaborative culture and worldwide presence generate a stream of new opportunities to define the future and propel your life’s work. Bring your unique perspective. Bring curiosity. Bring ingenuity, and drive. We’ll give you a platform to be daring on a global scale.
Hiring: Engineering, Human resources
What employees say
+ Good work life balance, hibrid mode is very convenient, pay is better
− Mangers are worst, too much micro management
More reviews on the company profile.
Interview experience · Senior Software QA Engineer
I recently interviewed with PepsiCo and successfully cleared one round. I then went through two technical interview rounds, expecting a professional discussion around my experience, technical skills, and problem-solving
Difficult difficulty · New Delhi · 211 reports
More interview insightsJob description
Overview
As a data engineering lead, you will be the key technical expert overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business.
Responsibilities
- Manage a team of data engineers and data analysts by delegating project responsibilities and managing their flow of work as well as empowering them to realize their full potential.
- Design, structure and store data into unified data models and link them together to make the data reusable for downstream products.
- Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
- Create reusable AI enabled accelerators and solutions to automate L3 incident resolution and triage for business critical applications to drive productivity gains
- Enable and accelerate standards-based development prioritizing reuse of code, adopt test-driven development, unit testing and test automation with end-to-end observability of data
- Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality, performance and cost.
- Collaborate with internal clients (product teams, sector leads, data science teams) and external partners (SI partners/data providers) to drive solutioning and clarify solution requirements.
- Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects to build and support the right domain architecture for each application following well-architected design standards.
- Define and manage SLA’s for data products and processes running in production.
Qualifications
- 10+ years of overall technology experience that includes at least 5+ years of hands-on software development, data engineering, and systems architecture.
- 8+ years of experience with Data Lakehouse, Data Warehousing, and Data Analytics tools.
- 6+ years of experience in data modelling using specialized modelling tools such as CA Erwin
- 4+ years of experience in Python/Pyspark/Scala programming on big data platforms like Databricks
- 4+ years in cloud data engineering experience in Azure or AWS.
- Fluent with Azure cloud services. Azure Data Engineering certification is a plus.
- Experience with at least one business intelligence tool such as Power BI or Tableau
- Domain Knowledge of CPG industry with Supply chain/GTM background is preferred.
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Job application FAQ
Last updated 5 November 2026
- How do I apply for Data Eng Principal Engineer at PepsiCo?
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- Is Data Eng Principal Engineer remote or on-site in Hyderabad, Telangana?
- This listing is marked hybrid with location Hyderabad, Telangana. Confirm details on the job description before applying.
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- This is a principal Data Eng Principal Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.