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Experience using the Python data science/ML stack in a collaborative development environment using version control tools (git). Experience with cloud computing platforms such as AWS, Azure, and GCP. Experience with containerized solutions such as Docker a plus.
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Experience with high volume data processing using Snowflake, Redshift, Databricks, and other relevant cloud technologies and designing solutions for reliability and performance at scale.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like JavaScript, Java, TypeScript, Python, Vue.js, Angular, RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
$234,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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And technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures. Our enterprise projects often require us to bridge and / or transform legacy systems to cloud native modern to extend business functionality and unlock data, we use digital decoupling technique to slowly and methodically hollow out the existing core and reimagine functionality, capture and distribute data changes.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 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.
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Familiarity with the following vendor-specific platforms and tools: including but not limited to: Boomi, Azure, Windows Server platforms, Power BI, RESTful APIs, Postman. Monitors and manages team activities and deliverables for adherence to relevant enterprise and departmental resource, technology, and operational governance/approval processes, and departmentally spanning technology architectures, models, methods, and tools.
$156,275 - $184,456 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge of data visualization tools such as Power BI, Tableau, or Alteryx is preferred. Accounting, finance, treasury, litigation matters and data management.
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He/ She will work as a Senior Cloud Engineer within the CDO EDP team and will have the opportunity to work one-on-one with application and infrastructure developers to build and enhance the data infrastructure and application patterns that power mission-critical applications, ensuring that they are engineered for high availability, durability, and resiliency.
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As part of the Quality and Safety division, Data and Analytics (DnA) empowers NYC Health + Hospitals and its partners with data, digital tools, AI capabilities, and insights to drive quality and performance improvements, support enterprise operations, and enhance patient outcomes.
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ResponsibilitiesAs a Senior Software Engineer (Full-Stack) on our Search team, you will: Collaborate with Product Manager, Designer, User Researcher, Agile Delivery Lead, Data Scientists, Metadata Librarians, and Engineering team members to explore, shape, and develop new Search & Discover product experiences from ideation to implementation at scale.
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Experience integrating SAP IBP with other SAP and non-SAP tools using CI-DS, CIF, RTI, and other interfaces. Proficient in SAP IBP Supply and Response Planning, including Master Data, Key Figures, Planning Areas, Operators, Heuristics, and Optimizer planning.
RemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Our technology, powered by the latest natural language processing and deep learning technology, is used across industries, to power digital workplaces, accelerate digital transformation, and provide workers with contextual and secure access to the data they need to achieve their missions.
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Understanding leveraging Oracle SHDL and HDL capabilities to import data into Oracle Fusion Cloud via OIC. Oracle HCM Cloud Security Administrator is a technical role that provides technical expertise in Oracle Fusion security administration.
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Advertising is a complex and rich problem space for a data scientist and your solutions will require the application and integration of a wide range of tools and techniques including: recommendation systems, forecasting, revenue optimization, natural language processing, and reinforcement learning as well as an understanding of how people use data products to drive decision-making.
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Experience with BI tool and Database integration (e.g. Snowflake or other cloud db with Tableau, PowerBI, Google Looker Studio, MicroStrategy etc.) Setup and monitor data shares, Snowpipe for Snowflake projects Implement Snowflake Cloud management frameworks that includes but is not limited to monitoring, alerting, and governance model, budgets and change management, cost optimization lifecycle, show-backs, and charge-backs.
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power tools bi data scientist cloud computing jobs in New York, NY
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