Project Manager with Data Engineering Background with Google Cloud Platform

Hybrid in Paramus, NJ, US • Posted 1 day ago • Updated 1 day ago
Full Time
Hybrid
$60 - $70/hr
Fitment

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Job Details

Skills

  • Project Manager

Summary

Hiring: Project Manager with Data Engineering Background with Google Cloud Platform

Location: NJ 07652 USA (Hybrid / 4 Days a week)

Job Type: Long Term contract (3-5 Years)

Client: Persistent / Veolia

Note : Need PM with Strong Data Background

Detailed JD:

Experience managing large-scale data/cloud transformations, focusing on Google Cloud Platform data engineering (BigQuery, Dataflow, Pub/Sub, Cloud Storage). Responsibilities include managing Agile workflows, defining data pipeline requirements, optimizing cost/performance, and driving migration from on-premise to Google Cloud Platform.

Role Overview

We are seeking an experienced Technical Project Manager with a strong background in data engineering and the Google Cloud Platform (Google Cloud Platform). You will lead cross-functional teams to design, build, and deploy robust data pipelines and analytics solutions, ensuring projects are delivered on time, within scope, and on budget.

Key Responsibilities

Project Delivery: Oversee full-lifecycle development of scalable Google Cloud Platform data architectures (batch and streaming).
Google Cloud Platform Expertise: Guide development using BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer.
Agile Management: Facilitate sprints, manage backlogs in Jira/Confluence, and remove impediments.
Stakeholder Engagement: Collaborate with data engineers, architects, and business stakeholders to define requirements and data governance.
Performance Optimization: Monitor and optimize data system performance, cost, and security.
Data Migration: Lead initiatives for migrating on-premise data environments to Google Cloud Platform.

Required Qualifications

  • Experience: 10+ years in IT Project/Program Management.
    Google Cloud Platform/Cloud Knowledge: Demonstrated experience with Google Cloud Platform data products.
    Technical Understanding: Solid grasp of ETL/ELT pipelines, data modeling, and warehousing.
    Methodology: Strong experience with Agile/Scrum.
    Skills: Exceptional communication, stakeholder management, and leadership skills.

Preferred Qualifications

  • Google Cloud Professional Data Engineer Certification.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90962964
  • Position Id: 8970081
  • Posted 1 day ago
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