Senior Data Engineer

Carrier

Hyderabad, India
Gcp-based lakehouse architecture
Google cloud platform services
Python and sql proficiency
Design, build, and operate scalable, reliable data pipelines and data products on a GCP‑based Lakehouse architecture, enabling analytics, AI/ML, and data products

Job Summary

  • Design, build, and operate scalable, reliable data pipelines and data products on a GCP‑based Lakehouse architecture, enabling analytics, AI/ML, and data products.
  • Implement data storage and processing using Lakehouse principles, working with open table and file formats to ensure interoperability and support advanced analytics use cases.
  • Carrier offers competitive benefits including a retirement savings plan, health insurance, flexible schedules, parental leave, professional development opportunities, and an Employee Assistance Programme.

Matching Summary

Design, build, and operate scalable, reliable data pipelines and data products on a GCP‑based Lakehouse architecture, enabling analytics, AI/ML, and data products.

Skills & Requirements

Must-have

  • GCP-based Lakehouse architecture
  • Google Cloud Platform services
  • Python and SQL proficiency
  • Batch and streaming data pipelines
  • Lakehouse principles and open data standards
  • Data quality, governance, and lineage

Nice-to-have

  • AI/ML pipelines integration
  • Infrastructure-as-code
  • Cloud-agnostic data platforms
  • Mentoring junior engineers

Key Requirements

  • 5+ years of experience in data engineering
  • Hands-on experience with GCP services
  • Proficiency in Python and SQL
  • Experience building production data pipelines

Work Rights

Not specified

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