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Experience working with Big Data technologies: Spark, Databricks or other frameworks. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.
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As a Mr. Cooper Group team member, you play a big role in making that dream possible. Roles & Responsibilities:The Underwriter III is responsible for analyzing highly complex financial and credit information according to internal underwriting standards, investor guidelines, and federal regulationsUnderwrites a wide variety of product and loan types with a higher aggregate credit exposure including underwriting exceptions not determined through DUCompile, analyze, and document loan data and credit risk, borrower and property information.
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Daily tasks may include creating and updating data pipeline specifications and/or designing data pipeline logic, building and maintaining code for big data ingestion, identifying opportunities to leverage company data to drive business outcomes, and designing and developing scalable data ingestion frameworks.
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S DegreeAt least 5 years of people management experienceAt least 7 year of software engineering or data engineering experienceAt least 3 years of experience with Big Data and data streamingAt least 3 years of experience with cloud-based data platforms Preferred QualificationsMaster.
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Demonstrated experience on at least three of the following key services: Big Query, Composer, Vertex AI, DataProc, Data Catalog, Notebook. Understanding of Azure cloud service offerings such as Synapse, Purview, Data Lake, Logic Apps, Data Factory.
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Knowledge in data mining, machine learning, artificial intelligence, predictive analytics, and/or big data. Experience in DAX / data modeling with Microsoft Power BI, Power Pivot and/or SSAS Tabular.
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Our mission is to drive activation of data solutions, rep engagement technology (Sales, Marketing and Service) and client intelligence to achieve targeted business outcomes, address data risk and safeguard competitive edge.
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Managed Azure cloud infrastructure, including Databricks for big data and AI/ML in corporate finance. As a Sr. Lead CloudOps Engineer on Stryker’s Finance Data Science & Engineering team, you are set to lead at the convergence of cloud computing, AI, and financial analytics.
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Familiarity with big data technologies (e.g. Hadoop, Spark, Hive, etc.) Deloitte Technology US is seeking an AI & Analytics Product Manager who will blend their product management expertise with a deep understanding of data, artificial intelligence, and machine learning.
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Experience in designing and working with cloud based datastores such as Snowflake, Google Big Query, Teradata Vantage cloud. Expert level knowledge of SQL, ETL and ELT, Physical data design for Distributed computing etc.
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The role will include hybrid duties between accounting and finance, giving the candidate exposure to manipulating big data and using that for process improvement initiatives. Ability to manipulate large data for process improvements.
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At least 3 years’ experience working with data in relational databases (SQL Server, Oracle, DB2) and other big data environments (Hadoop, Snowflake, etc. Understanding of data exploration, visual analytics concepts, experience with BI (OBIEE, Power BI) and visualization tools such as Tableau.
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As a Technology Engineering Intern at BHN, you will work with our software developers, and architects, and you will learn to build large scale big data processing systems that processes multi billion dollars financial transactions with penny-level precision.
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