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Forge strong relationships with our key business partners, understand financial markets, liquidity management strategies to develop and enhance our treasury systems and processes. Your Impact:Our Corporate Treasury Engineering team is a world leader in developing quantitative techniques and technological solutions that solve complex and commercial business problems.
$150,000 - $250,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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SP achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Present or past Experience in analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems such as Hadoop HDFS & Hive would be an advantage.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Senior Software Engineer, you will tackle our most complex challenges, building high-quality, architecturally sound systems that align with our business needs and propel us forward.
$261,500 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Define and develop artifacts outlining data dictionaries, definitions, flows and lineage across various systems and business processes across the enterprise, and aligned with RBC’s data governance strategy where appropriate.
$263,408 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Must have experience in two or more (and one domain led): Application Services (API, Cloud, DevOps, Microservices, Modernization), SaaS SFDC, Workday, Blue Yonder Oracle, SAP, MS CRM Dynamics Business Analytics (Big Data, Data Science, AI, ML) Technology Domain (VLSI, FPGA, Analog, Systems Engineering) Technology Domain (Online Businesses, ISV s, Emerging Tech)Preferred Location: United States (1.
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Supports the systems and business teams for estimates, analysis, design, development, performance, scalability, and benchmark test guidance and providing subject matter expertise in technology and design.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
$282,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. As a technical leader of our data engineering team, reporting to our Director of Business Intelligence, you'll play a pivotal role in defining the foundation crucial for various types of analysis.
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Apply your engineering expertise to solve large-scale business problems. You will help us think of innovative ways to improve our data systems to help the business make decisions and make it even more enjoyable and valuable to shop with us.
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Developing and executing a comprehensive data engineering and analytics strategy that is in line with the business goals of the entertainment banking, private banking and wealth management division.
$263,408 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Will be responsible for accomplishing results through the management of leading teams to establish and implement new or and revised data engineering systems and programs in coordination with the Business, Architecture, and Technology Teams as part of the large digital transformation journey.
$85 an hourExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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You will work on some of the latest applications of data science, data engineering, ML Engineering, and BI to solve complex business problems. If you are passionate to work on unstructured business problems and data engineering programs leveraging data and excited about building, leading, and enabling a team of analytics and data engineering professionals toward that objective, we would like to talk to you.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Engineering Organization in Goldman Sachs includes the Technology and Strategist groups across various business functions. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Proficient in real time & batch pipelines in big data technologies (i.e. Spark/Kafka/Cassandra/Hadoop/Elasticsearch, NoSql Dbs etc.) Sam's Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centers, tire and battery centers, and a portfolio of business operations support services.
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big engineering business systems jobs in New York, NY
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