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GCP Data EngineerRivago Infotech Inc • New York, New York, United States
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GCP Data Engineer

Rivago Infotech Inc
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

We are seeking a highly skilled
Senior 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 the
primary 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 including
Enterprise 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 maintain
scalable data pipelines
on GCP for batch and real‑time processing.
Implement
data ingestion frameworks (push/pull)
using services like Dataflow, DataStream, Pub/Sub, and Cloud Run.
Build and optimize
data transformation pipelines
using BigQuery, Dataform, and Spark‑based frameworks.
Act as the
technical lead/owner
ensuring alignment with EA‑approved data architecture.
Drive
best practices in data engineering , including CI/CD, testing, monitoring, and cost optimization.
Collaborate with cross‑functional teams to deliver
end‑to‑end data solutions .
Ensure data quality, reliability, governance, and performance across pipelines.
Technical Qualifications Experience
6+ years of experience in data engineering, with strong focus on Google 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)
Cloud Composer (Airflow)
(orchestration)
Pub/Sub
Programming & Querying Advanced proficiency in:
Python
SQL (complex transformations, performance tuning)
Deep understanding of
Data modeling techniques
Medallion architecture (Bronze/Silver/Gold layers)
Preferred Skills
Experience with
real‑time streaming architectures
Familiarity with
CI/CD pipelines (Terraform, Cloud Build, GitOps)
Strong understanding of
data governance, security, and compliance
Experience working in
large 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
#J-18808-Ljbffr
  • New York, New York, United States

Sprachkenntnisse

  • English
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