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1 Day ago

Senior Data Engineer/Architect - Google Cloud Platform

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Noida, Uttar Pradesh, India
Information Technology
Full-Time
True Talents

Overview

Job Description - Senior GCP Data Engineer / Architect

Position : Senior GCP Data Engineer / Architect

Job Type : Full-time | Payroll

Location : Pan India (Onsite : Bengaluru / Pune / Gurgaon)

Duration : Long-term

About The Role

We are hiring Senior GCP Data Engineers and Architects for a leading MNC. The ideal candidate will have strong expertise in Google Cloud Platform (GCP) with proven experience in building and managing scalable, secure, and high-performance data solutions. Multiple roles are open across engineering and architecture tracks.

Key Responsibilities

  • Design, develop, and optimize large-scale data pipelines and ETL workflows on GCP.
  • Build and maintain data models, storage solutions, and analytical systems leveraging BigQuery, Dataflow, and other GCP services.
  • Ensure robust data governance, security, and compliance within cloud environments.
  • Collaborate with cross-functional teams (Data Scientists, Analysts, and Business Teams) to deliver high-quality data solutions.
  • Optimize SQL queries, scripts, and workflows for performance and scalability.
  • Lead architectural discussions, define best practices, and mentor junior team members.
  • Troubleshoot and resolve issues in data pipelines and production environments.

Required Skills & Experience

  • 4+ years hands-on experience with Google Cloud Platform (GCP).
  • 3+ years working experience with Python and SQL.
  • Strong experience in one or more of the following :
  • GCP + Python + SQL + Dataflow
  • GCP + BigQuery
  • GCP + Data Governance
  • GCP + Java + Apache Beam
  • GCP + Big Data + SQL + ETL
  • GCP + PySpark / BigQuery SQL
  • GCP + BigQuery + Unix + PL/SQL
  • Strong analytical, problem-solving, and debugging skills.
  • Knowledge of data governance, data quality, and compliance standards.
  • Ability to work in fast-paced, dynamic environments with cross-location teams.

Good To Have

  • Experience with advanced Big Data frameworks and large-scale distributed systems.
  • Exposure to DevOps, CI/CD pipelines, and containerization Prior experience in architecting enterprise-grade GCP data solutions.

If youre a seasoned GCP Data Engineer/Architect looking to work on cutting-edge cloud data platforms, this opportunity is for you.

(ref:hirist.tech)
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