Google Cloud Platform Data Engineer

ROLE:Google Cloud Platform DATA ENGINEER

Location: Princeton, NJ(Onsite)

Job Description

Top Required Skills

·        5+ years hands‑on Google Cloud Platform (Google Cloud Platform)

·        Strong in BigQuery, Data Fusion, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage

·        Deep experience building ETL/ELT pipelines, data ingestion, orchestration, and analytics workflows

·        Strong Python + SQL for cloud-native development

·        Experience with Cloud Functions, Cloud Run, Cloud SQL

·        Strong DevOps/SecOps, CI/CD, Git-based deployments

·        Experience with IaC, automation, monitoring, logging, cloud governance

·        Strong understanding of data warehousing, lakehouse, distributed processing, metadata management

Core Responsibilities

·        Design, build, administer, and optimize enterprise Google Cloud Platform environments

·        Build scalable data pipelines and analytics platforms

·        Implement DevOps/CI/CD and cloud automation

·        Ensure security, IAM, governance, monitoring, and cost optimization

·        Support cloud modernization and enterprise data platform initiatives

Nice to Have

·        Multi-cloud exposure (AWS, OCI)

·        Experience with Snowflake, Databricks, Spark, Kafka, Airflow, Terraform, Docker, Kubernetes

·        AI/ML or Vertex AI exposure

Preferred Certifications

·        Google Professional Cloud Architect / Data Engineer

·        Google Associate Cloud Engineer

·        Google Cloud Platform DevOps Engineer

·        AWS / OCI / Snowflake / Databricks certification