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We are looking for a Python Cloud Application Development Engineer for GCP. The job involves understanding the analytic needs of the Advanced Driver Assist Systems (ADAS) team and developing custom Cloud based Python Big Data Applications.
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Hands on experience with Cloud Run, Data Flow, Cloud SQL, Big Query and related GCP services. Experience Required: Google Cloud Platform Architecture Experience Preferred: IBM MDM or similar master data management solutions Education Required: BS Computer Science or Engineering.
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Experience Required: · Google Cloud Platform Architecture Experience Preferred: · IBM MDM or similar master data management solutions Education Required: · BS Computer Science or Engineering Education Preferred: · GCP Certification.
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Experience in supporting database technologies - Oracle, DB2, Teradata, Hadoop, MS SQL Server, PostgreSQL, GCP Big Query. GCP Data Analytics, Salesforce, ServiceNow training. Knowledge of Data Analytics, Google Cloud Technologies.
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Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
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To lead SAP architecture leveraging SAP products (S/4HANA SD, EWM, SCM, GRC, Solution Manager, Data Service, Fiori and Ariba cloud), third-party application (such as Adobe, Vertex cloud and Open Text cloud) and Ford standard services (such as Active Directory, Google CloudRun, BigQuery, Informatica MDM and IICS.
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Minimum 2 years of experience in development using Data warehousing, Big Data Eco System Hive (Hql) & Oozie Scheduler, ETL IBM Data Stage, Informatica IICS with Teradata 1 Year experience of deploying google cloud services using Terraform.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles. Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies.
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To lead SAP architecture leveraging SAP products (S/4HANA SD, EWM, SCM, GRC, Solution Manager, Data Service, Fiori and Ariba cloud), third-party application (such as Adobe, Vertex cloud and Open Text cloud) and our standard services (such as Active Directory, Google CloudRun, BigQuery, Informatica MDM and IICS.
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Data Architect w GCP position is based at our corporate office located in Dearborn, Michigan. In the subject line of the email please include: First and Last Name ( Data Architect w GCP.
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Minimum 5 Years of GCP experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc.
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To lead SAP architecture leveraging SAP products (S/4HANA SD, EWM, SCM, GRC, Solution Manager, Data Service, Fiori and Ariba cloud), third-party applications (such as Adobe, Vertex cloud and Open Text cloud) and our standard services (such as Active Directory, Google CloudRun, BigQuery, Informatica MDM and IICS.
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Databases including Big table, Cloud SQL, Cloud Spanner, Memory store, Data Analytics Data Flow, DataProc, Cloud Pub/Sub, Kubernetes, Docker, managing containers, container auto scaling and container security.
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Stefanini is looking for Data Architect-Location: Dearborn, MI (Hybrid) The position requires a strong architect with comprehensive knowledge of data architecture, hands on experience in data model design, data quality analysis and good understanding of data analytics architecture.
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You will work on ingesting, transforming, and analyzing large datasets to support the Enterprise in the Data Factory on Google Cloud Platform (GCP). Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc, Cloud Build, etc.
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big data jobs in Dearborn, Gretna, Louisiana
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