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Senior GCP Data Engineer

PeopleNTech LLC
🇺🇸 United States
On-site
Senior
3 months ago
  • GCP
  • Dataflow
  • Pub/Sub
  • Cloud Run
  • BigQuery
  • Data Architecture
  • CI/CD
  • SQL
  • Composer
  • Airflow
  • PySpark
  • Python
  • Apache Spark
  • Data Modeling
  • Terraform
  • GitOps
3 months ago
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  • Detailed JD:
We are seeking a highly skilledSenior GCP Data Engineer to design, build, and optimize scalable, cloud-native data pipelines and platforms on Google Cloud Platform (GCP). This role will act as theprimary technical owner for implementing data pipelines aligned with Enterprise Architecture (EA) standards and driving engineering best practices across the data ecosystem.
You will collaborate closely with cross-functional teams includingEnterprise Architecture, Platform Engineering, Data Activation, and Solution Architects to enable robust data ingestion (batch and streaming) and transformation pipelines across multiple data sources.
Key Responsibilities
  • Design, develop, and maintainscalable data pipelines on GCP for batch and real-time processing.
  • Implementdata ingestion frameworks (push/pull) using services like Dataflow, DataStream, Pub/Sub, and Cloud Run.
  • Build and optimizedata transformation pipelines using BigQuery, Dataform, and Spark-based frameworks.
  • Act as thetechnical lead/owner ensuring alignment with EA-approved data architecture.
  • Drivebest practices in data engineering, including CI/CD, testing, monitoring, and cost optimization.
  • Collaborate with cross-functional teams to deliverend-to-end data solutions.
  • Ensure data quality, reliability, governance, and performance across pipelines.
Technical Qualifications
Experience
  • 6+ years of experience indata engineering, with strong focus onGoogle Cloud Platform (GCP).
  • GCP Professional Data Engineer certification - must have
Core GCP Expertise
Strong hands-on experience with:
  • Medallion architecture (Centralized Hub/Spoke model)
  • BigQuery (data warehousing & optimization)
  • Dataform (SQL-based transformations)
  • Dataflow (batch & streaming pipelines)
  • Datastream (CDC ingestion)
  • Cloud Composer (Airflow) (orchestration)
  • Dataproc (Spark/PySpark)
  • Cloud Run
  • Cloud Storage
  • Pub/Sub
Programming & Querying
Advanced proficiency in:
  • Python
  • PySpark / Apache Spark
  • SQL (complex transformations, performance tuning)
Data Architecture
Deep understanding of:
  • Data modeling techniques
  • Medallion architecture (Bronze/Silver/Gold layers)
  • Centralized Hub/Spoke data platform design
Preferred Skills
  • Experience withreal-time streaming architectures
  • Familiarity withCI/CD pipelines (Terraform, Cloud Build, GitOps)
  • Strong understanding ofdata governance, security, and compliance
  • Experience working inlarge enterprise or utility/regulated environments
Soft Skills
  • Strong ownership and accountability
  • Ability to work across distributed teams and vendors
  • Excellent communication with technical and non-technical stakeholders
  • Sell Rate:$85/hr & 135K.
  • Client Full Address: 4 Irving Place, New York, NY 10003.
  • Remote / WFO / Hybrid:Hybrid ( 2/3 days work from client office), Prefer NY/NJ candidates
  • Hire Type (FTE/Contract):FTE / C2H
  • Project Duration:1 Year
  • Expected Start Date:22 Jun 26
  • Day 1 Billing Confirmation: Yes
  • No. of client interviews for this role: 1 to 2

Senior GCP Data Engineer · PeopleNTech LLC

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