> Markdown version of [/jobs/ext/1249868-gcp-data-engineer](https://www.wearedevelopers.com/jobs/ext/1249868-gcp-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GCP Data Engineer - **Company:** Wipro Limited - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $45,000.0 - $121,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Big Data, BigQuery, Cloud Computing, Cloud Storage, Computer Programming, Continuous Integration, Information Engineering, Data Infrastructure, DevOps, Data Flow Control, Github, Python (Programming Language), Machine Learning, Platform as a Service (PAAS), Performance Tuning, SQL Databases, Data Streaming, Workflow Management Systems, Data Processing, Google Cloud, Cloud Platform System, Data Ingestion, Sql Optimization, Gitlab, Git, Information Technology, Deployment Automation, Software Version Control, Data Pipelines - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ca8d0f916325965c ## About the Role * Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically: BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment. Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub * Programming & Querying: Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning. * Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar). * DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes. Soft Skills * Excellent communication * Team collaboration * Documentation and knowledge sharing Education Requirements Bachelor's/Master's in Computer Science or equivalent (can be marked optional or flexible) Certifications GCP Data Engineer Mandatory Skills: GCP Cloud PaaS Google Cloud Platform . Experience: 3-5 Years . ## Description Highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives. You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment., Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasetsto support high-volume reporting, business analysis, and data science model development. * Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics * Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaminganalytics. * Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions. ## Related Videos - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [My journey into DevOps world - How it all started!](https://www.wearedevelopers.com/videos/545-my-journey-into-devops-world-how-it-all-started) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Got AI ideas but no money? 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