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Develop, maintain, and grow automated processes leveraging Excel, VBA, Tableau, Power BI, python, Snowflake,. The primary responsibility of this role is to provide critical thought-leadership using data and analytics on Interest Rate Risk (IRR), Liquidity Risk, Funds Transfer Pricing (FTP), Valuation, and Financial Forecasting utilizing measures such as Net Interest Income (NII), Earnings at Risk (EAR), Economic Value of Equity (EVE), and other Key Risk Indicators.
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Working knowledge of Datalake Techstacks ( like Snowflake, Big Query, Databricks) and Vector database. Working knowledge of Datalake Techstacks ( like Snowflake, Big Query, Databricks) and Vector database.
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Experience working with Workday, Snowflake, or other business intelligence reporting packages. Perform managed care contracting analysis/modeling to support Managed Care department for contract negotiations.
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Senior Software Engineer, Full Stack (Python, Snowflake) Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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The tech stack is primarily Java, AWS serverless, EMR, EC2, and ECS with services written in Scala, Spark, and Python, and uses Snowflake as our Database. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Develop complex financial Asset Liability Management (ALM) models in Empyrean/ Excel/SQL to be used as the primary source for TMCC/Other AOR SFC Asset/Liability Management program. Experience with ALM Tools Empyrean/Bancware/QRM.
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5+ years of experience in at least one of the following: Python, SQL, Snowflake. As well as a lot of SQL queries to retrieve and store data in the Snowflake warehouse. Utilize programming languages like Python, SQL and Scala and Open Source RDBMS, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Data & AI, Data Cloud using Snowflake, Databricks, Azure Synapse, GCP GBQ or AWS Redshift. Must have 2 plus years of experience in implementation of Data Cloud using Snowflake, Databricks, Azure Synapse, GCP GBQ or AWS Redshift.
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Understanding of data services including ComosDB, Azure SQL Database, Data Lake, Databricks, Data Factory, Synapse, Snowflake and when to use each. Understanding of data services including ComosDB, Azure SQL Database, Data Lake, Databricks, Data Factory, Synapse, Snowflake and when to use each.
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Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.
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1 or more years experience with cloud-based data offerings (Amazon AWS, Redshift, Snowflake, Google GCP, Microsoft Azure) Technical/Functional Skills : Snowflake, DBT, Informatica, SQL, Insurance Domain Knowledge.
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Required Technical Skills/Competencies - Databricks, SQL, Python, Snowflake, Relational Database Structures, Data Analytics/Data Mining Tools. Required Technical Skills/Competencies - Databricks, SQL, Python, Snowflake, Relational Database Structures, Data Analytics/Data Mining Tools.
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Develop complex financial Asset Liability Management (ALM) models in Empyrean/ Excel/SQL to be used as the primary source for Other AOR SFC Asset/Liability Management program. Advise finance subsidiaries on treasury management activities, practices and procedures ensuring compliance with policies and guidelines and review and provide input on funding forecasts and associated funding programs Treasury, FP&A, Risk, Profitability · Analytical & Treasury experience · Strong proficiency with Excel modeling · Hands on experience with SQL · User of SmartView/Essbase.
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Expertise in Snowflake - data modeling, ELT/ETL using Snowflake SQL, Stored Procs, and knowledge in Big Data areas like Hadoop and Talend (optional) Design, Architecture and implement effective Analytics solutions and models using technologies including, but not limited to - Spark, Hadoop, Snowflake and UNIX.
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Advanced Analytics - Demonstrated proficiency in implementing advanced analytics solutions within Snowflake, including forecasting, predictive modeling and anomaly detection, leveraging Cortex AI.
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snowflake job in Allen, TX
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