Hybrid GCP Data Engineer | BigQuery, Pub/Sub, AlloyDB

Cognizant

Lake Hiawatha (NJ)

Hybrid

USD 110,000 - 123,000

Full time

5 days ago

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Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan with company contributions

Disability insurance (Long/Short-term)

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a GCP Data Engineer to design and build scalable data pipelines on Google Cloud for transportation and logistics data. You will ingest, transform, and store data to enable faster operational decision making and partner with cross-functional teams in a hybrid work setup.

The role emphasizes Python development, GCP services including Pub/Sub, BigQuery, and AlloyDB, and delivering high-performance data workflows with observability and reliability.

Qualifications

7+ years of experience with Google Cloud Pub/Sub, BigQuery, and Cloud Monitoring
7+ years of experience with Python
5+ years of experience with AlloyDB
Hands-on experience with GCP services including Compute Engine
Understanding of performance testing concepts

Responsibilities

Design and implement scalable data pipelines on GCP
Develop Python code for data processing and automation
Architect and optimize AlloyDB schemas and queries
Configure and manage Google Cloud Pub/Sub messaging
Utilize BigQuery for performant data models and analytics

Skills

Google Cloud Pub/Sub

GCP BigQuery

Python programming

AlloyDB

Compute Engine

Performance testing

Tools

AlloyDB

Compute Engine

BigQuery

Pub/Sub

Job description

The role emphasizes Python development, GCP services including Pub/Sub, BigQuery, and AlloyDB, and delivering high-performance data workflows with observability and reliability.

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