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Google Cloud Platform Data Engineer

Niha Technologies, Inc.United States🇺🇸United StatesPosted 3 Aug 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your extensive Google Cloud Platform expertise, including BigQuery and PySpark, to drive impactful data solutions. You'll thrive here if you're a mid-senior data engineer with a passion for designing and implementing large-scale big data platforms within a reputable company. Apply today to advance your career in cloud data engineering!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
3 weeks ago
SQLScalaAgileAirflowBigQueryGoogle CloudHivePigPython

Job Description

Title: Google Cloud Platform Data Engineer

Location: Multiple 

Experience: 8 - 12+ Years

 

Note:

Should be primarily working on Google Cloud Platform

Google Cloud Platform Certification needed

 

Skills:

  • Years of experience :  8+ years
  • Google Cloud Platform Cloud : GCS, DataProc, BigQuery, Composer/Airflow
  • Big Data: PySpark
  • Spark, Python, Google Cloud Platform is must have
  • Strong experience with Spark , Data Frames
  • Big Query background with data processing for large volumes  
  • Another NO Sql DB is big plus - Spanner DB & Graph DB

Qualifications:

  • 6+ years of experience working as a big data engineer (Required) must be able to articulate use cases supported and outcomes driven.
  • knowledge of the following (expectation is to demonstrate these skills live during the interview): PySpark, Spark, Python, Scala, Hive, Pig, and MapReduce.
  • Experience in Google Cloud Platform.  
  • Experience in SQL.
  • Large scale data engineering and business intelligence delivery experience
  • Design of large-scale enterprise level big data platforms
  • Experience working with and performing analysis using large data sets
  • Proven and Demonstrated experience working with or on a mature, self-organized agile team

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