Associate Data Engineer - Builders Program Tamara 

We re looking for a fresh graduate or early-career Data Platform Engineer on a builder track.

This role is for someone who wants to build the foundations behind analytics and AI. You will help develop and run the data platform that makes data available, secure, governed, and fast. That includes pipelines, event streaming ingestion, warehouses and lakes, and the guardrails that keep data trusted.

With the advancement of AI, we care more about strong fundamentals than memorizing tools. Use AI assistants to move faster, but always own correctness, reliability, and security.

Your responsibilities

• Build and maintain the data platform
  • Help develop and maintain platform architecture (data warehouse, data lake, governance, protection).
  • Keep the platform reliable, observable, and ready to scale.
• Build robust pipelines (ELT/ETL + event-driven)
  • Build the infrastructure required for optimal extraction, transformation, and loading using SQL and big data technologies.
  • Augment batch pipelines with event-driven patterns where it makes sense (streaming ingestion, CDC, near-real-time processing, and reliable delivery).
  • Improve pipeline performance, cost, and reliability.
• Make the platform easier every week
  • Identify, design, and implement internal improvements: automate manual processes, optimize data delivery, and redesign components for scalability.
• Enable analytics and AI use cases
  • Build platform primitives and data products that power self-serve analytics and AI-assisted insights (not only dashboards).
  • Support analytics tooling that uses the pipelines to deliver actionable insights into customer acquisition, operational efficiency, and key business metrics.
• Partner with stakeholders
  • Work with stakeholders including Executive, Product, Data, and Design teams to resolve data technical issues and support infrastructure needs.
• Keep data secure across boundaries
  • Help keep data separated and secure across national boundaries, including through multiple data centers and appropriate access controls.