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Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. Azure, Databricks.
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Proficiency in survey methodology, statistical analysis, and data visualization techniques, with expertise in software tools such as SPSS, SAS, R, or STATA. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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Implementation of the Enterprise Data Strategy aligned with data governance goals. They will act as a translator, champion and ambassador of our data platforms, connected data products, analytics, tooling and capabilities across IT. They will possess data and technical skills, strong pragmatic leadership abilities and a deep understanding of data management and governance principles and technologies.
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Strong command of database technology, query languages (SQL), non-relational databases, and Big Data technologies, including efficient storage and serialization protocols (e.g., Parquet, Avro, Protocol Buffers.
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Experience with Dynamo Software or other portfolio management and data reporting tools preferred (Blackrock Aladdin/eFront, Bloomberg, Solovis, Caissa/Burgiss, etc) CFS Technology has been contacted by a longtime client that has a long term need for a talented Senior Analyst: Data & Operations.
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Contribute to Open Spatial Lab and core facility projects in a variety of topic domains focused on geospatial data science and interactive cartography, including public health and demography, food insecurity, urban ecology, and climate justice.
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The Misharin lab is seeking a computational biologist/bioinformatician/data analyst with expertise in machine learning, genomics, single cell RNseq, and single cell spatial genomics to support the ongoing research projects focusing on mechanisms governing lung injury and repair (see Grant et al., Nature, 2021; Sikkema et al., Nat Med, 2022; Bailey et al., bioRxiv, 2023.
$55,128 - $77,525 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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2 Ability to design and implement architectures within AWS utilizing Databricks. 3 Integrate Databricks with AWS to support the architecture. 3 Hands on Experience writing Pyspark pipelines in Databricks.
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Proficient in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies. Strong understanding of database technologies (e.g., SQL, NoSQL) and data modeling principles.
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A global Quantitative Hedge Fund is hiring a Senior Software Engineer to join their global front office technology department in a new greenfield project to revolutionize their execution and market data platforms.
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Experience in ABAP programming for Workflows, Reports, Interfaces, Conversions, Enhancements, Forms, and Security, (WRICEFS) with an understanding of the SAP S/4HANA data dictionary, ABAP syntax, debugging tools, and performance optimization techniques, BTP, FIORI app customization and development, SQL, using and extending CDS Views, user-exits, LTMC, and LTMOM.
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Required Skills: Expertise developing Software Applications using Object Oriented Programming Concepts, Java8, microservices, Springboot/Spring frameworks, JPA. Expertise with Web Services(JAX-WS), Service Oriented Architecture (SOAP/REST APIs) and messaging technologies MQ and JMS. Experience in writing complex SQL queries in any of the leading database platforms (SQLServer, Oracle.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Good understanding of data models and designs, developing and executing SQL, Python and R scripts on complex data models. As a key member of the Team, you will support the selection and implementation of technical solutions on the P&C data platform by utilising the latest advancements in IT-architecture and contribute to the development of the in-house R-Shiny applications which are the key tools in P&C Analytics.
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Strong knowledge of data modeling development and reporting in data visualization tools such as Looker, Tableau, ThoughtSpot is a plus. The mission of CNA's Enterprise Risk Management (ERM) function is to build upon an established risk management framework to support the achievement of the company's strategic goals.
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databricks hadoop sql server data jobs Company: U S Bank in Chicago, IL
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