Data Management & Operations Associate Manager

Plano, TX, US • Posted 30+ days ago • Updated 9 hours ago
Full Time
On-site
USD $141,773.00 - 158,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Management
  • Microservices
  • Data Processing
  • Data Lake
  • Data Warehouse
  • Storage
  • Relational Databases
  • MongoDB
  • Analytics
  • Use Cases
  • Real-time
  • Workflow
  • Docker
  • Kubernetes
  • Git
  • Continuous Integration and Development
  • Decision-making
  • Generative Artificial Intelligence (AI)
  • Telecommuting
  • Computer Science
  • Information Technology
  • Data Science
  • Data Analysis
  • Software Development
  • Systems Architecture
  • Python
  • Flask
  • Pandas
  • Data Engineering
  • Cloud Computing
  • Microsoft Azure
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • Version Control
  • GitHub
  • Continuous Integration
  • Agile
  • DevOps
  • Cloud Security
  • SAML
  • Database Administration
  • Management
  • NoSQL
  • Database
  • Oracle
  • PostgreSQL
  • SQL Azure
  • SQL
  • Extract
  • Transform
  • Load
  • ELT
  • Data Profiling
  • Data Quality
  • Business Intelligence
  • Microsoft Power BI
  • Tableau
  • UI
  • jQuery
  • JavaScript
  • React.js
  • AngularJS
  • Statistics
  • Machine Learning (ML)
  • Natural Language Processing
  • Predictive Modelling
  • Text Mining
  • Performance Monitoring
  • Reporting
  • LOS
  • Recruiting
  • Law

Summary

Overview

Job Title: Data Management & Operations Associate Manager

Employer: PepsiCo, Inc.

Location: 7701 Legacy Drive, Plano, TX 75024

Responsibilities

Duties: Design, build, and maintain backend systems and services by applying full-stack software development principles using Python, ensuring scalable and maintainable architecture across various applications. Develop robust APIs and microservices using frameworks like Flask, FastAPI, and Ariadne, while integrating with data processing libraries such as Pandas and ORMs like SQLAlchemy to support business logic and data workflows. Architect and manage data lake infrastructure and data warehouse solutions, enabling efficient ingestion, transformation, and storage of large datasets for downstream analytics and reporting needs. Design, implement, and optimize relational and non-relational databases, including Oracle, PostgreSQL, Azure SQL, and MongoDB, ensuring high performance, security, and availability of data assets. Create and maintain high-volume ETL/ELT pipelines to process structured and semi-structured data, supporting analytics use cases and enabling near real-time insights from diverse data sources. Automate deployment workflows using DevOps practices, including containerizing applications with Docker, configuring Helm charts, and deploying to Azure Kubernetes Service (AKS) for scalable production environments. Manage source code and infrastructure automation using Git, GitHub Actions, and Azure DevOps, enabling continuous integration and delivery pipelines across multi-cloud and hybrid environments. Develop data-driven solutions by analyzing large datasets, building predictive models, and leveraging LLMs to extract insights, automate text analysis, and enhance business decision-making through advanced generative AI techniques.

*Telecommuting permitted 30%: work may be performed within normal commuting distance from the PepsiCo office in Plano, TX.

Qualifications

Job Requirements: Bachelor's (US or Foreign Equivalent) in Computer Science, Information Technology, Data Science, or related and six (6) years of experience in Software development, Data Science and Data Analytics. Must have five (5) years of experience in: Hands-on experience on software development and system architecture using Python with extensive knowledge in at least three of the following components: Flask, FastAPI, Ariadne, Pandas, or SQL alchemy; Cloud data engineering experience in at least one cloud (Azure, AWS, Google Cloud Platform); Version control systems such as Github and deployment & CI tools; Working knowledge of agile development, including DevOps and DataOps concepts; System/Cloud security tools SAML or OKTA; and Database management, designing, optimizing, and managing SQL and NoSQL databases, such as Oracle, PostgreSQL, Azure SQL, and MS SQL. Must have four (4) years of experience in: Building high-volume ETL/ELT pipelines. Data profiling and data quality tools; Familiarity with business intelligence tools (Power-Bi or Tableau). Building custom reporting tools with UI technologies in at least three of the following: jQuery, JavaScript, React JS, Angular JS, or FASTAPI; Must have two (2) years of experience in Collecting and pre-processing data, performing statistical analysis, building ML/NLP models, engineering features, and delivering insights through predictive modeling, text analytics, and performance monitoring.

Salary: $141,773 - $158,000/ year.

QUALIFIED APPLICANTS: Visit and search req ID #435519 or job title. Click on matching job and follow directions to submit resume.

#LI-DNI

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Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.

Please view our Pay Transparency Statement

#LI-DNI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80180514
  • Position Id: ecea816f92913820f1bdee1dd2530d41
  • Posted 30+ days ago
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