gcs Jobs in san jose, ca

Refine Results
21 - 27 of 27 Jobs

Data Engineer

MARKS IT SOLUTIONS LLC

Sunnyvale, California, USA

Contract

Data EngineerLocation: Sunnyvale CA (Onsite)Need local to CA candidatesClient: WalmartW2 roleResponsibilities: As a Senior Data Engineer, you will Design and develop big data applications using the latest open source technologies. Desired working in offshore model and Managed outcome Develop logical and physical data models for big data platforms. Automate workflows using Apache Airflow. Create data pipelines using Apache Hive, Apache Spark, Apache Kafka. Provide ongoing maintenance and enhancem

Google Cloud Platform Data Engineer for Remote - USA||Fulltime Opportunity||

Amaze Systems Inc

US

Full-time

Fulltime Opportunity Role: Google Cloud Platform Data Engineer Location: Remote - USA Duration: FTE only Job Description: 7+ years' proven experience as a Data Engineer with a focus on Google Cloud Platform services. Strong proficiency in Google Cloud Platform services such as GCS, Dataflow with Apache Beam (Batch & Stream data processing), BigQuery, cloud Composer and Pub/Sub. Proficiency in SQL and Python for data manipulation and analysis is mandatory. Solid understanding of data warehousin

Site-Reliability Engineer Remote Location

Sierra Business Solution LLC

Remote

Contract, Third Party

Phoenix AZ Job Description: >> Min 3-5 years of Service reliabilityoperation experience running large scale, high performance applications in a hybrid environment (on-prem and cloud). >> Min 3-5 years of experience writing automation scripts and building dashboards for Application Performance management to manage Transaction journeys. >> 2-4 years of Experience working with Programming languages such as Go, Python, Java, Rust etc. >> Working knowledge on with one or more databases-Oracle, PL?SQ

MLOps Engineer | Google Cloud Platform | Vertex AI | Kubeflow

Hexacorp

Remote

Full-time, Third Party

We are seeking a skilled MLOps Engineer with hands-on experience in Google Cloud Platform (Google Cloud Platform) to design, build, and manage robust ML pipelines and model deployment frameworks. The ideal candidate will have a solid foundation in both machine learning operations and cloud-native tools, enabling seamless model integration, monitoring, and CI/CD workflows. Key Responsibilities: Design, develop, and manage ML pipelines using Google Cloud Platform tools (Vertex AI, Kubeflow, AI Pl

MLOps Engineer Google Cloud Platform

Hexacorp

Remote

Full-time, Third Party

We are seeking a skilled MLOps Engineer with hands-on experience in Google Cloud Platform (Google Cloud Platform) to design, build, and manage robust ML pipelines and model deployment frameworks. The ideal candidate will have a solid foundation in both machine learning operations and cloud-native tools, enabling seamless model integration, monitoring, and CI/CD workflows. Key Responsibilities:Design, develop, and manage ML pipelines using Google Cloud Platform tools (Vertex AI, Kubeflow, AI Plat

Google Cloud Platform Data Engineer III

Caspex Corporation

Sunnyvale, California, USA

Third Party, Contract

Position: Google Cloud Platform Data Engineer Location : Sunnyvale, CA Duration : 12 Months + What you'll do: Build and maintain optimal data platform and pipeline architecture.Assemble large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.Build the infrastructure required for optimal extraction,

Databricks Senior Manager

Oscar Technology

Remote

Full-time

Senior Manager, Databricks Location Remote Overview Databricks is seeking a seasoned Senior Manager to lead the strategy, implementation, and operation of our Databricks platform across Azure, AWS, and Google Cloud Platform. You'll manage and mentor a high-performing team, oversee cloud-native data platform initiatives, and ensure reliable, scalable analytics and AI capabilities. Key Responsibilities Lead and develop a team of data engineers, platform specialists, or solution architects, setti