Lead Engineer 2 - Enterprise Data Operations Analyst

Global food and beverage leader known for iconic brands and innovative consumer products.
Data
Staff Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
Enterprise SaaS

Description For Lead Engineer 2 - Enterprise Data Operations Analyst

PepsiCo is seeking a Lead Engineer 2 - Enterprise Data Operations Analyst to join their team in Hyderabad, India. This role sits at the intersection of data modeling, analytics, and enterprise architecture, working on global projects that impact PepsiCo's core business operations.

The position requires partnering with the D&A Data Foundation team to create sophisticated data models for global projects. You'll be responsible for analyzing project data needs, identifying storage and integration requirements, and driving opportunities for data model reuse. The role demands expertise in enterprise architecture, data design, and D&A standards implementation.

Working in a hybrid environment, you'll handle both on-premise and cloud systems, creating data models for complex applications that directly impact PepsiCo's flagship data products. These products span crucial business areas including revenue management, supply chain, manufacturing, and logistics.

Key responsibilities include developing conceptual, logical, and physical data models across various platforms like SQL Data Warehouse, EMR, Databricks, and Snowflake. You'll work closely with data product owners, management teams, and engineering groups to create extensible data models that support future use cases with minimal rework.

The ideal candidate brings 5+ years of technology experience, including significant data modeling expertise. Strong knowledge of data lake infrastructure, warehousing, and analytics tools is essential. Experience with cloud services, particularly Azure, and familiarity with data profiling tools will be valuable.

This role offers the opportunity to work with a global leader in the food and beverage industry, contributing to large-scale data initiatives that drive business success. You'll be part of a dynamic team that values innovation, collaboration, and technical excellence.

Last updated 11 days ago

Responsibilities For Lead Engineer 2 - Enterprise Data Operations Analyst

  • Complete conceptual, logical and physical data models for supported platforms
  • Govern data design/modeling and documentation of metadata
  • Provide data analysis, requirements gathering, and solution development
  • Support project contractors and contribute to project cost estimates
  • Ensure extensible physical and logical data model design
  • Partner with IT and data engineering teams
  • Create Source To Target Mappings for ETL and BI developers
  • Develop reusable data models based on cloud-centric approaches
  • Support data lineage and mapping of source system data

Requirements For Lead Engineer 2 - Enterprise Data Operations Analyst

Python
  • 5+ years of overall technology experience with 2+ years of data modeling
  • 2+ years experience with Data Lake Infrastructure and Data Analytics tools
  • Experience in building solutions in retail or supply chain space
  • Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models)
  • Experience with Azure cloud services integration
  • Experience with data profiling tools like Apache Griffin, Deequ
  • Experience with MPP database technology
  • Knowledge of version control systems like Github
  • Experience with Azure Data Factory, Databricks preferred
  • Working knowledge of agile development and DataOps

Benefits For Lead Engineer 2 - Enterprise Data Operations Analyst

Relocation Benefits
  • Relocation Benefits

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