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PlatformDIGITAL®, the company’s global data center platform, provides customers with a secure data meeting place and a proven Pervasive Datacenter Architecture (PDx®) solution methodology for powering innovation and efficiently managing Data Gravity challenges.
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6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment. In our consultative approach, we are platform agnostic and are committed to accelerating the development of innovative AI solutions for our clients with the best possible tools; this spans all relevant technologies from on-prem and cloud deployment, high performance computing, automation, DevOps, MLOps, data engineering and streamlining IT infrastructure processes.
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Skills and attributes for success: - Performs administrative functions associated with the day-to-day use of litigation support software eDiscovery databases, including but not limited to: - database creation and maintenance; - importing images, data and transcripts; - searching and exporting data; - document scanning, OCR and coding; - and document productions - Processing and publishing of electronically stored information for cases.
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Maintain and grow experience in Database scenarios including Cosmos DB, SQL DB, PostgreSQL and in Analytics, Data warehousing, Data Engineering, Data Science including Intelligent Data and Analytics Platform (Azure SQL DW, Lakehouse architecture, Fabric, Azure Databricks, Power BI), and relevant AI technologies while keeping up to date with market trends and competitive insights.
$219,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). · Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python.
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Prior experience with Radiology Information Systems, PACS, Data processing and digital data transfer process. Registered X-Ray Technologist by American Registry of Radiologic Technologists (ARRT.
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5+ years of experience in data engineering with Databricks and Spark. Design, develop, and maintain data pipelines using Databricks and Spark, and other cloud technologies as needed. Implement ETL processes and data warehouse solutions, and ensure compliance with data governance and security policies Qualifications.
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Drive strategic product communications, owns customer engagement and identify customer requirements by considering data, customer feedback, and user research, and designs product value propositions for large tech and cross-functional audiences.
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Role description:As a Senior Data Center Power Distribution Engineer you will lead the electrical discipline of multiple concurrent data center projects through pursuit, proposal, design, and construction phases.
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This platform is critical to our client's trading operations, processing tick-by-tick data and driving algorithmic trading, client reporting, and P&L calculations. Maintain the quality and integrity of market data critical for algorithmic trading and decision-making processes.
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Collaborate with other second line of defense functions such as Operational Risk, Enterprise Risk, Model Risk, Data Privacy, Compliance etc. Participate in relevant governance committees and working groups as a delegate of the Head of Technology, including the Operational Risk Committee, Technology Executive Working Group, Information Security & Data Management Committee, Architectural Review Board, AI Evaluation Forum.
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You will provide a range of qualitative and quantitative consulting services in the areas of data science, AI, model development, model validation, model risk management, modeling technology, model governance / controls / documentation, and financial instrument valuation.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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As a Power BI Developer, you will apply your intellectual curiosity and passion for problem solving to dig into our mammoth scale of data to help unleash the power of retail data analytics by imagining, developing, and maintaining Power BI Semantic Data Models that our Walmart data users can rely on.
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data job Company: Twitter in Edgewater, NJ
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