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Skills: Data Warehousing, Data modelling, ETL/ ELT, PySpark, Azure Databricks and Spark Streaming, SQL, Production support & monitoring. Skills: Data Warehousing, Data modelling, ETL/ ELT, PySpark, Azure Databricks and Spark Streaming, SQL, Production support & monitoring.
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3+ years' experience working with Alteryx and Tableau. 3+ years' experience working with Alteryx and Tableau. Experience with Salesforce and Snowflake. Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more.
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Advanced knowledge of Extract/Transform/Load (ETL) or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software.
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Python, SQL, Tableau, Alteryx experience (highly preferred) Application Administration/Development experience with enterprise server based BI Applications including Tableau, Alteryx, Cognos, SPSS and/or equivalent.
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Primarily remote however must live in the DFW area or be willing to relocate to the DFW area. Assist in application installation planning, capacity planning, license management, server resource and performance management for enterprise Business Intelligence applications Support budgeting for utilization growth and application lifecycle management.
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ETL: SSIS, IBM DataStage, Cognos DataManager. Individually satiates all new BI work demand while replacing Cognos with Microsoft Power BI to deliver interactive reports, cubes, real-time dashboards and scorecards (forecast and actuals.
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Architect and refine a scalable, robust cloud data architecture within AWS or GCP, integrating Snowflake for data warehousing, SQL Server for database management, and leveraging Python, SSIS, and DataStage for complex ETL processes.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience developing and automating extraction, transform, and load (ETL) processes including using enterprise data integrationtools. Experience using enterprise database platforms (Oracle, IBM, SAP HANA, SQL Server, PostgreSQL)and cloudplatforms.
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Experience and good understating of databases (Oracle, Sql Server) and ETL. Experience with Matillion or similar ETL tools. Utilize technologies such as Python, Lambda, Airflow, Snowflake, REST API, AWS, and S3 to develop data infrastructure and pipelines.
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2+ years of experience with development, data modeling, and ETL that includes data warehouse data modeling, and star and snowflake schema. Advanced Resource Technologies, Inc. (ARTI) , is currently recruiting for a Data Visualization Specialist tosupport DARPA in Arlington, VA. Position is full-time, exempt.
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The Data Architect II is responsible for designing and documenting logical and physical Enterprise Application (OLTP) and Data Warehouse (OLAP) databases and creating the related ETL Design Specifications with supporting documentation.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Build and maintain ETL pipelines that ensure consistent and reliable business rules and data governance. Proficiency with data analysis tools like Python and SQL; familiarity with Looker or similar platforms can be beneficial, ensuring flexible and adept data handling.
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5+ years in software testing, development, ETL, or IT. Are you a skilled professional seeking a fully remote opportunity? Fully Remote: Embrace flexible work. NET, IIS, Windows Server, VMWare, Powershell, Confluence, Source Code Control.
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Keywords:Boston MA Jobs, Software Manager, UI, User Interface, JavaScript, React, Redux, HTML, CSS, Bootstrap, Java, PHP, Python, AWS, PaaS, SaaS, IaaS, AppSync, Lambda, Cognito, BeanStalk, CloudWatch, CloudMonitor, EC2, S3, VPC, SQL, MySQL, AWS-RDS, DynamoDB, AWS-Elastic Cache, ETL, Data Lakes, AI, Artificial Intelligence, ML, Machine Learning, Data Science, Agile, Waterfall, Work From Home, Remote, Massachusetts Recruiters, Information Technology Jobs, IT Jobs, Massachusetts Recruiting.
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Excellent skills as a DBA, including ETL (extract, transform and load), backup and restore. OLAP (RedShift, Presto, Snowflake) or non-relational (MongoDB, DynamoDB) database technologies. Amazon Web Services (AWS) technologies, Microsoft Azure or Google Cloud Platform will be strongly considered.
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