Gcp Data Engineer With Cloud-native Architecture And Lakehouse Expertise

Synechron

Not specified
Hands-on experience with gcp data services
Proficiency in python for data pipeline development
Strong sql skills for data modeling
Synechron is seeking a skilled Google Cloud Platform (GCP) Data Engineer to lead the development of data architecture and cloud solutions to support enterprise analytics. The ideal candidate will have a strong background in GCP data services, Python, and SQL, with experience in building scalable data pipelines and lakehouse architectures

Job Summary

  • Synechron is seeking a skilled GCP Data Engineer to lead data architecture and pipeline development.
  • The role involves designing and optimizing scalable data pipelines using GCP native services.
  • Candidates will collaborate with cross-functional teams to implement modern lakehouse architectures.

Matching Summary

Match Score: 85

Synechron is seeking a skilled Google Cloud Platform (GCP) Data Engineer to lead the development of data architecture and cloud solutions to support enterprise analytics. The ideal candidate will have a strong background in GCP data services, Python, and SQL, with experience in building scalable data pipelines and lakehouse architectures.

Skills & Requirements

Must-have

  • Hands-on experience with GCP data services
  • Proficiency in Python for data pipeline development
  • Strong SQL skills for data modeling
  • Experience in building scalable data pipelines
  • Familiarity with GCP-native architecture components

Nice-to-have

  • Experience with Delta Lake and lakehouse architectures
  • Knowledge of data governance and compliance
  • Exposure to AI-enabled data solutions
  • Experience utilizing orchestration tools

Key Requirements

  • 3+ years supporting data pipelines on GCP
  • Bachelor’s or Master’s degree in Computer Science or related field
  • Certifications in GCP are advantageous

Work Rights

Not specified

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