Data Engineer

3 weeks ago

Hyderabad, Telangana, India PepsiCo Full time
Job Summary

As a key member of the data & analytics team at PepsiCo, you will be responsible for developing and overseeing the company's data product build & operations. This role requires a strong technical expert who can drive a vision for how data engineering can proactively create a positive impact on the business. You will lead the development of large and complex MLOps pipelines into cloud environments, directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around finance.

Responsibilities
  • Design and implement scalable solutions for data scientists to deploy their ML models and monitor their health on a multi-tenant platform.
  • Identify and develop MLOps features, including Azure DevOps Pipelines, Azure Data Factory, and Synapse.
  • Participate in the entire Machine Learning Lifecycle, deploying code to various environments, CI/CD integration, performance monitoring, and change management.
  • Build pipelines, feedback loops, ML workflows, and APIs.
  • Responsible for the sustainability of already live pipelines in production environments.

Requirements
  • Bachelor's degree in computer science, MIS, Business Management, or related field.
  • 4+ years of cloud experience, preferably in Azure.
  • Proficiency with Python and PySpark programming in Databricks Environment.
  • Experience with ML model serving technologies like Kubeflow Serving and MLFlow.
  • Experience with common data science frameworks, including Pandas, NumPy, Scikit-learn, and 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.
  • Experience with Azure infrastructure and platform in the context of AI/ML.
  • Well-versed with automations and deployments using cutting-edge Azure technologies.
  • Good written and verbal communication skills, along with collaboration and listening skills.

Preferred Skills
  • Experience related to Big Data.
  • Excellent remote collaboration skills.
  • Experience working in a matrix organization with diverse priorities.
  • Enthusiast for learning functional knowledge specific to finance business.
  • Ability to work with virtual teams and lead a team of 2-3 engineers.

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