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Financial Services experience is a plus Strong quantitative and problem-solving skills Knowledge and experience with various analytical and business intelligence tools Excellent communication and stakeholder partnership ability Hands-on experience in the use of data to solve complex business problems, leveraging toolsets such as: Qlik Sense, Tableau, Python, R, SQL Experience in Big Data/ Cloud platforms and technologies (AWS, Hadoop, Hive, Pig, Spark, etc.
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At least one year of experience and proficiency in coding (e.g., Python, Tensorflow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive). Utilize cutting-edge machine learning approaches and construct sophisticated machine learning models including deep learning architectures on big data platforms.
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Are you interested in machine learning, big data and distributed computing with applications in credit card business. Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency.
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Knowledge of big data platforms such as Apache Spark, Hadoop, Apache Fink or AWS engineering. As a Senior Product Associate in Markets Data Lake, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings.
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Hands-on expertise with AWS Cloud and Big Data technology. As a Senior Lead Software Engineer at JPMorgan Chase within the CCB US Wealth Management, you are an integral part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way.
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Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience with ETL tools and in implementing complex ETL transformations on big data platform Familiarity with relational database environment (Oracle, SQL Server, etc.
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Exceptional coding skills with at least one year professional experience in coding (e.g. Python, SAS, Spark, Scala, or Tensorflow) and big data platform (e.g., Hadoop, HDFS, Teradata, snowflake, AWS cloud, Hive.
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Experience with Big Data & ETL tools like Pentaho, Hadoop, AWS Glue. As a Senior Manager of Software Engineering at JPMorgan Chase within the Partner Channel product engineering group, you will be instrumental in aligning business strategy with technical execution, leveraging your understanding of product roadmaps and business goals.
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Familiarity with big-data environments (e.g. Hadoop, Spark) and model development experience on a cloud development platform. Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics or an equivalent quantitative field.
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