GCP Data Engineer

Rivago Infotech Inc; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Rivago Infotech Inc is looking for a Senior GCP Data Engineer in New York who will design, build, and optimize scalable cloud-native data pipelines on Google Cloud Platform (GCP). This role includes collaborating with teams to implement data ingestion and transformation pipelines aligned with enterprise architecture.

The ideal candidate will have 6+ years of experience, GCP Professional Data Engineer certification, and advanced proficiency in Python and SQL. Soft skills like ownership and teamwork are necessary as well.

Qualifications

• 6+ years of experience in data engineering focused on GCP.
• GCP Professional Data Engineer certification is mandatory.
• Strong hands-on experience with data transformation and ingestion frameworks.

Responsibilities

• Design and maintain scalable data pipelines on GCP.
• Implement data ingestion frameworks using Dataflow and Pub/Sub.
• Build data transformation pipelines with BigQuery and Dataform.

Skills

GCP Professional Data Engineer certification

Data modeling techniques

Advanced proficiency in Python

Advanced proficiency in SQL

Medallion architecture

CI/CD pipelines familiarity

Tools

BigQuery

Dataform

Dataflow

Pub/Sub

Cloud Composer (Airflow)

Job description

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