Data Engineering Team Lead

7 days ago

Gurgaon, Haryana, India PepsiCo Full time

Job Overview:

PepsiCo is seeking a highly skilled Data Engineering Team Lead to develop and oversee the company's data product build & operations. The ideal candidate will drive a strong vision for how data engineering can proactively create a positive impact on the business.

The Data Engineering Team Lead will be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company.

The successful candidate will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics.

The role requires close collaboration with process owners, product owners, and business users in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems.

Key Responsibilities:

  • Active contributor to code development in projects and services.
  • Collaborate with a cross-functional team of application developers, operations engineers, architects to understand complex product requirements and translate them into automated solutions that you build.
  • Collaborate with colleagues to support and improve architecture, systems, processes, standards, and tools.
  • Lead technical discussions to ensure solutions are designed for successful deployment, security, and high availability in the cloud.
  • Design, implement, and maintain server, storage, network, and security infrastructure as code.
  • Build reusable pipelines for application deployments.
  • Write and maintain code for automating the creation of scalable/resilient systems/infrastructure with a focus on immutability and containers.
  • Develop, implement, and test automated data backup and recovery, and disaster recovery procedures across multiple regions.
  • Write and maintain clear, concise documentation, runbooks, and operational standards including infrastructure diagrams.
  • Assist development teams in the creation and understanding of automated application configurations.
  • Ensure all solutions are properly monitored and instrumented.
  • Troubleshoot and resolve complex issues in development, test, and production environments.
  • Design and deploy scalable, highly available, and fault-tolerant distributed systems.
  • Continuously identify, adopt, and refine best practices.

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