Project Manager with GCP Data Engineering

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

Detailed JD:

Experience managing large-scale data/cloud transformations focusing on GCP 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 GCP.

Role Overview
We are seeking an experienced Technical Project Manager with a strong background in data engineering and the Google Cloud Platform (GCP). 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 GCP data architectures (batch and streaming).

GCP 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 GCP.

Required Qualifications

Experience: 10 years in IT Project/Program Management.

GCP/Cloud Knowledge: Demonstrated experience with GCP 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.

Background in software development (Python/SQL)