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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Expertise with Google Cloud Platform's distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) As a Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you'll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients' marketing investment.
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Experience working with data integration and business intelligence tools (Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik). Possess strong working knowledge of various data integration and business intelligence tools, including Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik.
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Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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A Tier I technician will gain an on-the-job understanding of the mechanical, electrical, fire life safety, and security systems used in a data center environment including, but not limited to the following: electrical distribution and layout, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH’s, pre-action sprinkler systems, security hardware, CCTV, monitoring, and CMMS systems.
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Lactalis Heritage Dairy: inviting you to share with us your STORY, your PASSION, and your EXPERTISE.From your PASSION to oursThe Vendor & Customer Master Data Analyst is a key position within Lactalis USA Transformation Management Office (LUSA TMO), responsible for driving change and delivering value.
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Data Modeling for Snowflake and Databricks: Develop efficient data models for cloud database to facilitate scalable data storage, processing, and analytics. Data Integration and Synchronization: Design efficient data synchronization processes between on-premises Oracle databases and Snowflake using Kafka and CDC extraction tools.
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Keep pulse of the latest development trends in cloud (AWS, GCP, Azure, etc), data platforms (Databricks, Snowflake etc), databases (RDBMS, SQL, NoSQL, Oracle, etc.) Understanding of streaming (e.g. Kafka, Kinesis), batch & workflow (e.g. Airflow, AWS Glue, CTTRL-M) data transport technologies.
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Must be enrolled full time at a 4-year accredited university/college in a Computer Science, Computer Engineering, Data Science/Analytics, Data Visualization, Marketing Analytics, Math, Stats, Software Engineering, Information Systems, Systems Engineering or related degree.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Data Governance at NT includes: Data Classification Metadata Management and Information Architecture Data Quality Management Data & Records Management Collaboration and partnerships with Data Privacy, Information Security, Data Analytics, and Model Risk Management.
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Basic Qualification : Nice to Haves: •Collibra OwlDQ or Oracle EDQ •Projects dealing with Information Security, Data Privacy, Document Retention, Individual Rights •Experience as a product owner on Agile data products •Power BI •SQL, Python, R, etc •Data Modeling.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 77 West Wacker Dr (35012), United States of America, Chicago, IllinoisSenior Manager, Data Engineering (Spark, Scala, SQL)Do you love building and pioneering in the technology space.
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Advising the GE HealthCare Digital business on improper payments (e.g., AKS, FCPA), regulatory, data privacy, cybersecurity, data governance, competition/antitrust, and advertising/promotional matters.
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data entry jobs Company: Cintas in Chicago, IL
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