GCP Data EngineerProdapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider.
A "Great Place To Work® Certified™" company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.Looking for a seasoned GCP Data Engineer to design, build, and maintain large-scale data pipelines and infrastructure on Google Cloud Platform. You will work closely with data architects, analysts, and product teams to deliver reliable, performant, and cost-efficient data solutions.ResponsibilitiesDesign and implement scalable data pipelines using GCP-native services (Dataflow, Dataproc, Pub/Sub, Cloud Composer/Airflow)Architect and optimize BigQuery datasets, tables, and queries for analytical workloads at scaleDesign and manage Cloud Spanner schemas for globally distributed, strongly consistent transactional dataBuild and maintain data models, transformations, and orchestration workflows using Cloud Workflows and related toolsDevelop backend data services and ETL/ELT scripts in PythonIntegrate and manage Firestore for real-time, document-oriented data use casesDesign and manage the GraphQL schemaBuild highly optimized resolver functions that bridge the GraphQL schema directly to data warehousesImplement GraphQL Subscriptions to stream live data, event changes, or real-time metrics using message brokers like Apache KafkaImplement data governance, lineage, and quality frameworks using tools like Dataplex or Data CatalogCollaborate on infrastructure-as-code using Terraform for GCP resource provisioningMonitor pipeline health, optimize costs, and troubleshoot production issuesMentor junior engineers and contribute to architectural decisions and best practicesRequirementsBachelor's degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.10+ years of overall experience in data engineering or a related field5+ years of hands-on experience on Google Cloud PlatformStrong proficiency in Python for data processing, automation, and pipeline developmentDeep expertise in BigQuery — schema design, partitioning, clustering, query optimization, cost governanceProduction experience with Cloud Spanner — schema design, interleaving, transaction patterns, and performance tuningSolid understanding of GCP data services: Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud ComposerExperience with Cloud Workflows for serverless orchestrationHands-on experience with Firestore (Native mode preferred) for NoSQL/document storage patternsStrong SQL skills and understanding of data warehousing conceptsExperience with CI/CD pipelines (Cloud Build, GitHub Actions) and version control (Git)Preferred / Nice to HaveExperience with dbt for transformation layer on BigQueryFamiliarity with streaming architectures (exactly-once semantics, late data handling)Knowledge of data mesh or data lakehouse patternsExposure to Vertex AI or ML pipelines for MLOps workflowsGCP Professional Data Engineer certification