Lead Google Cloud Platform Data Engineer

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Lead Google Cloud Platform Data Engineer in Edison, NJ. Below is the detailed job description.

Job Title: Lead Google Cloud Platform Data Engineer

Location: Edison, NJ (100% Onsite 5 Days/Week)

Employment Type: Contract

Role Overview

We are seeking an experienced Lead Google Cloud Platform Data Engineer to join our team in Edison, NJ on a contract basis. This is a strictly onsite role (Monday through Friday) focused on architecting, building, and optimizing scalable data pipelines and cloud data platforms on Google Cloud Platform (Google Cloud Platform). The ideal candidate will combine hands-on technical leadership with deep expertise in modern data engineering, big data processing, and cloud-native architecture.

Key Responsibilities

• Architecture & Design: Architect, design, and implement scalable, fault-tolerant data pipelines and data warehouse solutions on Google Cloud Platform.
• ETL/ELT Development: Build and optimize batch and real-time data ingestion and transformation workflows using BigQuery, Dataflow, Dataproc, and Cloud Composer (Airflow).
• Technical Leadership: Lead a team of data engineers, establish coding standards, conduct code reviews, and drive best practices for data modeling, security, and performance tuning.
• Data Modeling & Optimization: Design dimensional and analytical data models in BigQuery; optimize query performance, partitioning, clustering, and cloud storage costs.
• CI/CD & Infrastructure: Implement automated deployment pipelines and Infrastructure-as-Code (IaC) using Terraform, Cloud Build, and Git.
• Cross-Functional Collaboration: Partner closely with data scientists, business analysts, and product stakeholders to translate business requirements into reliable technical solutions.

Required Qualifications

• Experience: 8+ years of hands-on experience in Data Engineering, with at least 4+ years specializing in Google Cloud Platform (Google Cloud Platform).
• Core Google Cloud Platform Stack: Strong proficiency in BigQuery, Cloud Dataflow (Apache Beam), Cloud Dataproc (Spark), Cloud Pub/Sub, Cloud Storage (GCS), and Cloud Composer (Airflow).
• Programming & Querying: Expert-level skills in SQL and Python (PySpark, Pandas); familiarity with Java or Scala is a plus.
• Data Warehousing & Modeling: Proven experience with large-scale data warehousing, dimensional modeling, data lakes, and ETL/ELT best practices.
• DevOps & Governance: Hands-on experience with Terraform, CI/CD pipelines, IAM security policies, and data governance/lineage tools (e.g., Dataplex, Data Catalog).
• Onsite Availability: Must be willing and able to work 5 days a week onsite in Edison, NJ.

Preferred Qualifications

• Google Cloud Certified Professional Data Engineer.
• Experience with streaming architectures (Kafka, Pub/Sub) and dbt (data build tool).
• Domain experience in financial services, banking, healthcare, or enterprise retail.