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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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Ability to lead and influence stakeholders while maintaining data quality standards and delivering a high-quality data product is desired. The Principle-Solution Design Lead will report to the Sr Manager, Data Solutions.
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The AI & Analytics product team delivers data driven business analytic solutions leveraging artificial intelligence (AI), Big Data architecture and machine learning expertise to deliver business intelligence (BI) and analytics insight for the professional consulting market.
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Big Cloud is a data science, machine learning and AI recruiting firm. You'll be working with thousands of potency data points, 1000s of GPUs and Python APIs to experiment and generate new drugs.
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Softrams is a Maryland & Virginia-based small business providing information technology and consulting, and specializing in emerging technologies for UX/UI, Mobile Apps, DevOps, Big Data Analytics, Data Science, and Cyber Security.
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Work on Financial Securities-related Technology projects such as: trade capture, real-time derivatives pricing & risk mgmt., PNL, quant modeling, algo execution & hedging, big data analytics, electronic trading & STP, valuations, etc.
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Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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Citibank, N.A. seeks a Data Science Lead Analyst for its Jersey City, New Jersey location. 5 years of experience must include: Data analytics and statistical analysis of financial risk data; Policy and regulatory analysis; Data analytics tools including: R, Excel, and PL/SQL; Anti-Money Laundering (AML) and Know Your Client (KYC) guidelines; Oracle and relational databases; and User Acceptance Testing (UAT) and defect management.
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Collaborate with the team's stakeholders to identify requirements and deliver insightful, efficient, and secure data and visualization solutions that also align with the Bank's risk appetite, technology standards, and best practices.
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Degree: Bachelor's or Master's degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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5+ years experience as a logistics analyst, operations researcher, data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.
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Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark) ODDA team is being built under Chief Growth officer organization and is led by Global VP Data Analytics & Insights.
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Skills: SQL, Azure, Data Bricks, Data Lake, ETL, Data Security/Compliance/Governance, Azure DevOps, Data Factory, Big Data Platforms, Microsoft Azure Data Warehouse.
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We’re 9,000 people strong, committed to translating big data into big ideas. Design the Data replication systems and integration systems by evaluating various products and deciding on the better technology that meets the corporate objectives.
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Sr. Technology Risk Data Engineer - Financial Services (Python/SQL) Create and maintain documentation as required (e.g. data models, data lineage, metadata, data dictionary, information supply chain.
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big data jobs Title: technology lead in Jersey City, NJ
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