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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Statistical Process Controls, Neural Networks, Machine Learning, Deep LearningExcellent user interface (UI) development capabilityStrong understanding of major automotive subsystems, battery cells, and big-data structure.
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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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Experience in supporting database technologies - Oracle, DB, Teradata, Hadoop, MS SQL Server, PostgreSQL, GCP Big Query Knowledge of Data Analytics, Google Cloud Technologies Experience Preferred: Additional preferred experience in Salesforce, ServiceNow Education Required: Bachelor’s degree Education Preferred: GCP Data Analytics, Salesforce, ServiceNow training.
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OUR STRATEGIC PRIORITIES Customer Focus Operational Excellence High-Performance Culture Innovation Financial StrengthOUR BEHAVIORS Own It Act With Urgency Foster a Customer-First Mindset Think Big and Execute Lead by Example Drive Continuous Improvement Learn and Seek Out Development At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup.
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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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2 years of academic/work experience with one or more of the following: Data design, data architecture and data modeling (both transactional and analytic) Building Big Data pipelines for operational and analytical solutions Running and tuning queries in databases including Big Query, SQL Server, Hive or other equivalent platforms Data Management - including running queries and compiling data for analytics.
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Plant care during vegetative and flowering phase: trimming, manipulating and staking; big leafing and pruning; watering; plant monitoring; inventory data input. Cloning: Cutting and transplanting; watering; labeling; and inventory data input.
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Harvesting: Cutting plants; weighing and inventory data input into the electronic inventory tracking system. Experience working in a regulated cannabis cultivation facility. By creating your Careers in Cannabis profile, you take the first step towards finding your next job opportunity – and career step – in the fast-growing cannabis industry.
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Hands on experience with Cloud Run, Data Flow, Cloud SQL, Big Query and related GCP services. IBM MDM or similar master data management solutions. Experience with Google Cloud Platform (GCP) data architectures.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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5+ years in Data Analyst position or otherwise in projects involving big data. Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology.
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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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Technical knowledge and experience in MDM, GCP, HANA Database, DB2, Big Query, QlikSense Reporting, Linux operating systems, and enterprise integration. To deliver the detailed technical design, such data platform, integration fabric, security and cyber defense, hosting and client infrastructure.
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big data jobs in Detroit, MI
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