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Design and deploy large-scale data applications using Cloud, Big Data, Azure Data Factory (ADF), Azure Data Bricks, Python, Spark, SQL and NoSQL solutions. NET; C#; HTML; REST APIs; CSS; JavaScript; jQuery; Angular; SharePoint; Python; Shell Scripts; SQL Server; Oracle; NoSQL DBs; Cloud Technologies such as Azure and AWS; Git; Lucid Chart; Postman; Jenkins; Azure DevOps; Kubernetes; and Docker.
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NET, PowerShell Scripting, Python, JavaScript, CI/CD, Data Visualization, SSIS, SSRS, and Git/Azure DevOps. Experienced in managing and optimizing data storage using Azure Data & Analytics Services, Data Factory, Data Lake, DataBricks, Cosmos DB, Synapse Analytics, PowerBI, and MS SQL Server.
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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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Fluent in SQL, Python, and at least one analytic tool such as OBIEE, Power BI, or Tableau is required. Proven understanding of computer science fundamentals, data structures, and algorithms to ensure alignment to data engineering methodologies.
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Utilize programming languages like Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
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Proficiency in programming languages relevant to data engineering, including Python, Java, or Scala. Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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1-3 years of hands-on working knowledge of one or more of the following programming platforms: SAS, R, Python, SQL. Reporting into the one of the team manager under Director of Global Analytics and Engineering, this new position has been created for the purpose of establishing AML Transaction Monitoring capabilities for MUFG.
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Experience with SQL, SAS, Python, Alteryx, or Advanced Excel for analytical and automation tasks. Audit Manager (AML Data Quality (DQ) Audit Team) Charlotte, North Carolina /Dallas, Texas / Plano, Texas (Hybrid 3 days in office/ 2 days remote) ARC Group is currently looking for an Audit Manager (AML Data Quality (DQ) Audit Team) for a Fortune 500 company we are representing in the Banking/Financial Industry.
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5+ years of Data Integration experience (Azure Data Factory, Databricks, Azure Synapse Analytics, SQL Server Integration Services, Informatica, Microsoft Fabric etc.) Databricks Certified Data Engineer Associate or Professional.
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Experience with CI/CD tools and engineering practices (Jenkins, Octopus, Azure DevOps) Experience with scripting technologies (PowerShell, Bash, Python, Azure Resource Manager Templates, Desired State Configuration, JSON.
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Experience implementing and supporting Microsoft Azure infrastructure and topologies (Operations Management Suite, Application Insights, Azure App Services, Azure SQL Databases, Azure Site Recovery, Azure Backup, Security Center, Azure Networking, Azure Storage, Azure Automation.
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Experience with infrastructure as code tools and engineering practices (Terraform, Ansible, ARM) What cloud based data warehouse, reporting, and analytics solutions do you have experience with from an architecture standpoint.
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Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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Experience in quantitative methods for social science and specialist quantitative skills, including open source intelligence tools, data visualization, database management (SQL), Python, Tableau visualization or other data analysis toolsets.
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