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Minimum of 5 years of experience in data engineering, specifically with extensive use of Power BI and DataBricks. Description Manager Visualization, Data Engineering to oversee and enhance our data visualization infrastructure and ensure the highest standards of data integrity.
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Depending on candidates’ background, they will be able to work closely with software, firmware, electrical engineering or mechanical engineering team to contribute to different aspects of the product development.
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Reporting to the VP of Engineering, HFC, the RF Engineer will work with the ATX Product Development teams to develop and implement detailed designs for the HFC Outside Plant RF Amplifiers and Nodes as ATX expands it product portfolio in the HFC space.
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Contribute to the modernization of operational processes, legacy platforms by leveraging innovative technologies and optimizing workflows aligned with the target tech stack in the areas of Application/Digital/Data/Workflow engineering.
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Must have 2 years of experience in a combination of at least 3 of the following technical competencies: - Test Strategy & Operating Model Development - Testing Center of Excellence/IT Transformation Program Management - Test Automation using tools such as Junit, Selenium, and/or REST Assured - Automation Framework or Architecture - Agile Test Management - User Acceptance Testing - Performance Testing - Data or ETL Testing - IT Life cycle Management - IT Delivery Management.
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Strong knowledge of AutoCAD and/or AutoCAD Civil 3D. Strong knowledge with relevant drafting/design software, such as LandFX, SketchUp, Photoshop, InDesign, Illustrator, Rhino, and Lumion. About the PositionWe are seeking a Landscape Architect to join our growing PLACE (Planning & Urban Design, Landscape Architecture, Civil Engineering) team in the Metro Atlanta area.
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Design and Architect database solution on Snowflake data cloud platform, AWS, Azure and Databricks. 7+ years of hands-on experience designing and implementing production-grade data warehousing solutions on large-scale data technologies such as Snowflake, DB2, and SAP IQ.
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Responsibilities include protecting company and client data from exploitation or misuse, leading the design and implementation of data security and privacy policies, identifying weak control areas and engineering relevant mitigating controls, and mitigating operational risks associated with data in motion and at rest.
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Provides advice to leadership on the design, development and enforcement of business/infrastructure application standards to include the associated controls, procedures and monitoring to ensure compliance and accuracy of data.
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Support the People analytics function, by creating a robust data model and Data Warehouse architecture to power HR Analytics strategy and Operations. Manage the Employee Master MDM, ensuring it effectively supports the needs of the People Analytics team and complies with data governance standards.
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Rotating through functional areas like design, research, application engineering, manufacturing engineering, and software/hardware development. Upon completion of the program, you’ll transition into a targeted role such as product development engineer, product manager, applications engineer, or software/hardware engineer.
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This job is intended for a Customer Success Solutions Engineer who has experience working in a variety of scripting languages (Powershell, Bash, Python, Batch), Systems (Windows, Linux, Embedded, IOT), and technologies (SQL, HTML, REST, TCP/IP), and can apply those skills to build solutions to manage devices, software, data, and configuration on IoT edge devices.
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Lead a dedicated agile team of planners and doers using best practice service management and technology methods for patching, vulnerability resolution, end-of-life infrastructure replacement / retirement, software maintenance, and other hygiene related activities for infrastructure, applications, and security in the Morgan Stanley E*TRADE environment.
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Candidates should have experience with site civil design, permitting, and applicable software applications including hydrology modeling program, storm drainage programs, AutoCAD, and Civil 3D. Perform site development engineering and project management tasks for residential and commercial projects.
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Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS.
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software engineering data jobs Title: lead data scientist in Alpharetta, GA
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