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Data Engineer - GCP

Data Engineer - GCP

CLOUDSUFI
3-5 Years
Not Disclosed
Early Applicant
  • Posted a month ago
  • Be among the first 30 applicants

Job Description

We are looking for a highly skilled Data Engineer to spearhead our data modernization initiatives; you will be responsible for designing and executing complex data migrations and building scalable, secure data pipelines within the Google Cloud Platform (GCP) ecosystem. The ideal candidate is a hands-on technical expert who can bridge the gap between architectural design and implementation, ensuring our data infrastructure is robust, cost-effective, and secure.

Requirements

  • Experience: 3+ years in Data Engineering, with at least 3+ years specifically leading GCP-based projects.
  • Migration Track Record: Proven experience moving large-scale production datasets across environments.
  • Leadership: Experience mentoring junior engineers and leading technical sprints.
  • Communication: Ability to explain complex technical trade-offs to non-technical stakeholders.
  • Problem-Solving: A proactive approach to identifying bottlenecks in the data lifecycle.
  • Must have worked with US/Europe-based clients in an onsite/offshore delivery model.

Required Technical Skills

  • Cloud Platform: Expert-level proficiency in Google Cloud Platform (GCP).
  • Data Warehousing: Advanced BigQuery (SQL, optimization, and administration).
  • Orchestration: Hands-on experience with Cloud Composer (Apache Airflow).
  • ETL/ELT Tools: Proficiency in Dataform and Cloud Data Fusion.
  • Languages: Expert in SQL (complex joins, CTEs, window functions). Fair to solid proficiency in Python for scripting and Airflow DAGs.
  • Security and Ops: Deep understanding of IAM, Service Accounts, and Secret Manager.
  • Networking: Fair understanding of GCP Networking (VPC, Cloud SQL Auth Proxy, etc. ).

This job was posted by Pooja Singh from Cloudsufi.

More Info

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Key Skills

Service Accounts

Auth Proxy

Dataform

Cloud Composer

Cloud SQL

GCP Networking

Secret Manager

Cloud Data Fusion

About Company

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