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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 technology stack of this CSR data product build is Azure SQL Datawarehouse, Python, Databricks, and Azure Datalake at a high level. -8+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, 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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Expertise in data analytics tools and programming languages (e.g., Azure, Data Bricks, Python, R, SQL). Minimum Qualifications:Bachelor's Degree/equivalent in business, human resource management, industrial organizational psychology or data science.
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Expert knowledge of Azure services with a focus on Modern Data Solutions and Frameworks, adapters/connectors, and orchestration componentsExperience with Databricks or Synapse and associated languages such as (Python, SQL, Scala, etc.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, 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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Advanced knowledge of multiple programming languages, such as C#, Java, Python, SQL, Scala, or similar. NET, T-SQL, Azure SQL, Azure Storage, Azure Data Factory, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines.
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Develop and maintain customizations to our commercial treasury management system known as Wallstreet Suite 7.4 using Java, SQL (Oracle), Python, and Unix (basic navigation, administration, and shell scripting.
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Develop, maintain, and grow automated processes leveraging Excel, VBA, Tableau, Power BI, python, Snowflake,. What you’ll be doing: Develop complex financial Asset Liability Management (ALM) models in Empyrean/ Excel/SQL to be used as the primary source for SFC Asset/Liability Management program.
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Exposure to programming languages, preferably Python, R, and/or VB. Programming Languages (like Python, R, or VB) They will be integral in transitioning existing processes from SQL Server and Excel to cloud technologies, including Redshift, Aurora, Lambda, IICS, and more.
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Proficient in Python, SQL & Tableau. The ideal candidate will have expertise in analyzing large datasets and developing models using Python, SQL and other statistical analysis packages to get to the truth behind the data.
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Our ideal candidate will have:Degree specialized in a Science, Technology, Engineering, Mathematics disciplineScripting experience in (Python, R, Spark, and SQL)Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)Experience utilizing and developing within AWS services.
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Must have strong technical skills in Python Azure Event Hub Azure DevOps PySpark Databricks SQL and Spark in Scala. Must have strong technical skills in Python Azure Event Hub Azure DevOps PySpark Databricks SQL and Spark in Scala.
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5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js. 1+ years of experience with AWS, GCP, Azure, or another cloud service. 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js.
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Java, Python, Scala, R, SQL, etc.) Java, Python, Scala, R, SQL, etc.) has demonstrated experience in at least one or more of the following types of roles, Infrastructure and/or Application engineering architecture or SRE with both Private and Public Cloud, hands-on experience including Design, Assessment, Pattern development, and End-to-End Solution Design.
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