Cloud Engineering Leader for Data Product Development

2 weeks ago


Hyderabad, Telangana, India PepsiCo Full time
Job Overview
PepsiCo is seeking a seasoned Cloud Engineering Leader to spearhead the development of its data product suite. As a key member of the data & analytics team, you will be responsible for designing and overseeing the implementation of scalable cloud-based solutions that drive business impact.

About the Role
This leadership position requires a strong technical background in cloud engineering, combined with excellent communication and collaboration skills. You will work closely with process owners, product owners, and business users to deliver high-quality solutions that meet the evolving needs of the organization. Your expertise will be instrumental in shaping PepsiCo's data product strategy and ensuring alignment with business objectives.

Main Responsibilities
* Develop and maintain large-scale Machine Learning pipelines using Azure DevOps and Azure Data Factory
* Simplify the Machine Learning project development and deployment cycle through automation and process optimization
* Design and implement scalable solutions for data scientists to deploy their ML models on multi-tenant platforms
* Identify and develop MLOps features, including Azure DevOps Pipelines, Azure Data Factory, and Synapse
* Create tools, processes, or workflows that enable data scientists to operate more efficiently
* Participate in the entire Machine Learning lifecycle, including deploying code to various environments, CI/CD integration, performance monitoring, and change management

Requirements
* Bachelor's degree in Computer Science, MIS, Business Management, or related field
* 4+ years of cloud experience, preferably with Azure
* Proficiency in Python and PySpark programming in Databricks Environment
* Comfortable working with complex SQL
* Experience with ML model serving technologies like Kubeflow Serving and MLFlow
* Experience with common data science frameworks (Pandas, NumPy, Scikit-Learn, TensorFlow)
* Experience in creating Azure Data Factory and Azure DevOps Pipelines
* Experience in supporting QA and production deployments and developing end-to-end CI/CD Pipelines
* Excellent written and verbal communication skills, along with collaboration and listening skills

Salary
$120,000 - $180,000 per year, depending on experience.

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