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Experience with data modeling, ETL/ELT development, data integration and orchestration techniques Experience with designing and developing end-to-end data and analytics solutions leveraging Azure Data Lake, Azure Databricks, and Data Factory Nice to Have: Experience with designing scalable data analytics architecture to implement advanced analytics solutions, including machine learning and AI, to extract actionable insights from data.
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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.
$146,301 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Oversees the day-to-day operations, personnel management, qualityimprovement, and strategic planning for data operations including availability andsecurity of data assets. Develops and implements strategies to enhance theperformance and capabilities of Data Operations.
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The Strategic Finance Senior Data Analyst is a full-time role reporting to the Strategic Finance Technology and Data Director and located in Southfield, MI. Paid relocation is not available.
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Configure data platforms (e.g., Snowflake, AWS) At Ally, we have a passion for AI. We are seeking a talented Senior Specialist - Data Scientist - to join our AI and Advanced Analytics enablement team.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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And seven years of experience working in a data processing, analytical or computer programming function; OR Masters degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Economics, Finance, Industrial/Organizational Psychology and Econometrics, etc.
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Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs.
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Real-Time data streaming platform like Apache Kafka, Google Cloud Platform Pub/Sub o Microservices architecture to deliver large-scale real-time data processing application. Design and implement data-centric solutions on Google Cloud Platform (Google Cloud Platform) using various Google Cloud Platform tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, Google Cloud Platform APIs.
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Computer Data Entry Work from Home Part Time Job Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
$26 an hourPart-timeWork from homeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive hands-on experience with GCP services or other clouds(Azure, AWS) and tools such as Terraform, BigQuery, BigTable, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer, Tekton, and Vertex AI.
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Preferred minimum of 5 or more years experience specifically with Ellucian Banner Human Resources/Payroll database management, records maintenance, SQL, and data cleaning, extraction and validation.
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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc.
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Integration between GCP Data Catalog and Informatica EDC. Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory. 7+ years of experience as a data engineer, with strong proficiency in Azure cloud services, Databricks, and Azure Data Factory.
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Title: data Company: Mckinsey in Dearborn, MI
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