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Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.
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Technical Acumen: Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight: Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Understanding of distributed computing principles and experience with distributed data processing frameworks like Apache Spark or Hadoop. Excellent SQL skills with ability to work with data across different SQL databases including Postgres, Databricks, SQL Server etc.
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Skills in reviewing SQL data, Power BI, artificial intelligence, Databricks, Dev Ops, and Excel are essential. Able to provide Power BI users with clarity on good design practices such as the ability to communicate the data story with color selection, layout, and powerful visualizations.
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We are accepting applications for our very own DoD SkillBridge Fellowship Program supporting the Data Center Operations, Critical Facilities Engineer. DoD Military Skillbridge - Data Center Facility Engineer (HVAC, Mechanical, Electrician, Security Systems)Equinix is the world’s digital infrastructure company, operating 200+ data centers across the globe and providing interconnections to all the key clouds and networks.
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Source and transform data into the knowledge graph in a scalable and efficient manner using open-source or commercially available etl solutions (e.g., Informatica, BigQuery, AbInitio, Azure Data Factory, etc.
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Job Description 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.
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Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering.
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Excellent skills at data visualization and reporting – Demonstrated skills with Data, BI and Reporting software packages such as Alteryx, Business Objects, Tableau, Looker, Amazon QuickSight, Power BI, etc.
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Expertise in data visualization tools such as Power BI, Tableau and Looker is a plus. Prior data mining experience using enterprise systems (SAP or JD Edwards preferred). Job Title: Principal Data Scientist, Enterprise Advanced Data Science - FinanceJob Summary: Finance is of paramount importance to McKesson.
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Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more.
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Previous experience and knowledge of Data Protection technologies such as BigID, Collibra, Microsoft Purview, Netskope, ZScaler, Symantec/Broadcom, Forcepoint, McAfeeMust have hands-on experience in docker containers, Kubernetes, and Azure Kubernetes services administration.
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Load and process disparate data sets using technologies including but not limited to DBT, PostgreSQL, Elastic search, Snowflake, Spark, Java, and Python. Experience with Snowflake Data Cloud and its SQL and Snowpark client tools.
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Use of digital analytical tools such as Google Analytics and Google BigQuery Data. Experience in Google BigQuery Data. Ability to use or program in additional data/statistical tools Python, R, etc.
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Snowflake – Familiarity with stages and external tables, commands in snowflake like copy, unload data to/from S3, working knowledge of variant data type, flattening nested structure thru SQL, familiarity with marketplace integrations, role-based masking, pipes, data cloning, logs, user and role management is nice to have.
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Title: data Company: Capgemini in Dallas, TX
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