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Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
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Exceptional experience developing schemas, testing for quality assurance, administering RDBMS, and monitoring of one or more relational databases including Postgres, MySQL, Oracle, or SQL Server.
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The Cloud Operations Engineer will also need to be an expert in Azure portal administration along with having General Azure Active Directory and Windows Server administration knowledge and a basic understanding of SQL Server administration.
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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc.
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Expert level knowledge of Oracle EBS R12 Concurrent Manager tuning, Weblogic admin server tuning, Java tuning, Oracle Forms UI tuning is required. Arrow Electronics is looking for an experienced Oracle database, system, ERP EBS Applications and SQL performance tuning expert with an ability to identify, analyze performance issues and provide solutions, workarounds to resolve system performance issues in a fast paced Oracle EBS R12.2 with 50TB of data in a Multinode EBS app tiers and high availability multi node cluster RAC environment.
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Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, MATLAB, DataRobot or similar statistical and scripting tools.
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1 + years of experience working with Microsoft Azure (preferred), Google Cloud Platform, or AWS (IaaS, PaaS, and Services)Language Proficiency - A Minimum of 2+ years of experience with ASP.NET, C# and/or VB.net, JavaScript, Angular, TypeScript, CSS, HTML and Ajax.2+ years of experience with SQL server 2014 and higher in higher volume transaction environments.
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We are looking for a leader to develop our field cloud security SAs to become domain experts on cloud security and proficient on competitive products so they can effectively position Prisma Cloud to our customers in a differentiated way that leads to customer wins.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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ITIL, ServiceNow); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Your responsibilities will require experience in multiple databases (e.g. DB2, IMS, VSAM) and languages (e.g. Java, C#, COBOL, SQL, JCL) plus cloud platforms such as AWS, Azure or GCP. Mainframe Databases and File Systems: You need to know of these mainframe databases and file systems and have worked with at least one: DB2, IDMS, VSAM, IMS, Datacom, Adabas.
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Comprehensive knowledge of database storage systems, encompassing relational databases (SQL-Server, PostgreSQL, Oracle etc), NoSQL databases (Cassandra, MongoDB etc.) Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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The ideal candidate will have strong Microsoft Azure Cloud skills - Azure Data Factory, Azure Databricks, Power BI, SQL, Ability to guide and mentor junior engineers, Data and Analytics Thought leadership, and a passion towards Data and Analytics.
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Intermediate understanding of SQL and/or some knowledge of a scripting/compiled/statistical programming language (e.g. Python, R,. Experience building reports/analyses on large data sets using analytical tools (e.g. Excel, JMP, SAS, Tableau, etc.
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