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# Google Cloud Platform SPANNER DATA ENGINEER

- **Company:** SUNRAY INFORMATICS
- **Location:** East Brunswick, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Analysis, Big Data, BigQuery, Cloud Computing, Cloud Storage, Data as a Services, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Database Queries, Document Management Systems, Data Flow Control, Github, Apache Hadoop, Python (Programming Language), NoSQL, Performance Tuning, Query Optimization, Cloudera, Data Streaming, Google Cloud, Apache Spark, Build Server, Git, Information Technology, Software Version Control, Data Pipelines, Serverless Computing
- **Published:** June 24, 2026
- **Apply:** https://www.dice.com/job-detail/fbe3a34b-01a8-4fdd-afff-8e024ccf879b

## About the Role

OVERALL EXPEREINCE A MINIMUM OF 10-12YRS+ MUST HAVE SOME TELECOM DOMAIN EXPEREINCE., * 12+ years of experience in data engineering with at least 5+ years on Google Cloud Platform (Google Cloud Platform).

 * Solid understanding of network/telecom domains, including relevant data types and use cases.
 * Expertise in Google Cloud Platform tools, including:
 + BigQuery for schema design, partitioning, clustering, query optimization, cost governance, data warehousing and analytics
 + Dataproc for managing Apache Spark and Hadoop clusters
 + Airflow for orchestration of workflows and pipelines
 + Data streaming with Python
 * Strong experience in Apache Spark and Hadoop ecosystems.
 * Production experience with Cloud Spanner schema design, interleaving, transaction patterns, and performance tuning
 * Solid understanding of Google Cloud Platform data services: Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud Composer
 * Experience with Cloud Workflows for serverless orchestration
 * Hands-on experience with Firestore (Native mode preferred) for NoSQL/document storage patterns
 * Strong SQL skills and understanding of data warehousing concepts
 * Experience with CI/CD pipelines (Cloud Build, GitHub Actions) and version control (Git)
 * Ability to design, develop, and optimize ETL/ELT pipelines for large-scale data.
 * Hands-on experience in data modeling and data architecture design.
 * Strong problem-solving skills and ability to redesign existing solutions if needed.
 * Excellent communication and interpersonal skills to collaborate with both technical and business teams.
 * Bachelor s Degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.

Best Wishes

## Description

THE FOLLOWING SKILLS ARE A MUST AS PER NOTE: Google Cloud Platform Spanner, Firestore, Python tech stack along with other standard Google Cloud Platform Services, Cloud Workflow, and BigQuery


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