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# Google Cloud Platform DATA ENGINEER

- **Company:** SUNRAY INFORMATICS
- **Location:** Newark, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Cyber Security, Continuous Integration, Data Fusion, Extract Transform Load (ETL), Data Warehousing, DevOps, Distributed Computing Environment, Data Flow Control, Identity and Access Management, Python (Programming Language), Meta-Data Management, Cloudera, SQL Databases, Enterprise Data Management, Data Logging, Google Cloud, Data Ingestion, Snowflake, Apache Spark, Multi-Cloud, Git, Kubernetes, Apache Kafka, Terraform, Oracle Cloud Infrastructure, Data Pipelines, Docker, Databricks
- **Published:** August 5, 2026
- **Apply:** https://www.dice.com/job-detail/53dbe0ce-7cf6-4057-81c2-e897535b7956

## About the Role

* 5+ years handson 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 certifications



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