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1+ year(s) of experience in Google Cloud Platform (GCP) Data Engineering required. Develop, maintain, and optimize streaming, near real-time, and batch ETL pipelines using a combination of SQL, Teradata BTEQ and TPT scripts, Unix/Linux shell scripts, and Python scripts.
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As the AVP, Infrastructure Architect, Cloud you will support the Infrastructure & Operations (I&O) teams in architecting serverless and cloud-native solutions in AWS cloud and hybrid cloud/on-prem solutions.
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If you are you a Software Engineer who is experienced with Python (Django) and has an active Top Secret Clearance then please read on! A strong candidate will have 3+ years of professional software development experience with expertise in Python (Django) and at least a Top Secret Clearance.
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If pursuit of excellence is your calling then this role will provide a springboard in your career for (a) learning breadth and depth of wealth management domain (b) leveraging public cloud, API-first, domain driven design, and data mesh architecture and design principles towards delivering best-in-class technology products, and (c) unique experiences interacting directly with end investors and their advisors and getting the satisfaction of your work product being in the hands of customers.
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7+ years of experience developing RESTful APIs with Python frameworks such as Flask, Django, Fast API, AWS Powertools, SQL Alchemy, etc. As a Senior Python Developer, you will collaborate with cross-functional teams to build innovative solutions on AWS that are scalable, reliable, and secure.
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We are also working on Infor Cloud Suite upgrade and the candidate would need to know Lawson, SQL, WFM, GHR to run programs to extract conversion files out. Will be responsible for conversion files from Lawson to Cloud Suite - HR Files, Payroll, Benefits EEO EmployerApex Systems is an equal opportunity employer.
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Each of our paperless clinics is specially designed to deliver efficient care and equipped with cloud-based EMR, digital x-ray, and a full suite of IDEXX in-house lab equipment. We are an urgent care clinic with cloud-based electronic medical records and an online queue system.
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The practice features four modern exam lanes and advanced technology such as two OCTs, three autorefractors, Visual Fields, iCare Tonometry, Auto Phoropter, Wide Field Retinal Camera, cloud-based EHR, and a Zeiss Lab. As the business values a work-life balance, offering a weekday schedule with no weekends or Friday afternoons, the position is ideally a full-time engagement but will also consider part-time.
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Good understanding of digital marketing tools such as Google Analytics, Google Adwords, and Hubspot. Good understanding of digital marketing tools such as Google Analytics, Google Adwords, and Hubspot.
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3D Systems provides the most advanced and comprehensive 3D digital design and fabrication solutions available today, including 3D printers, print materials and cloud-sourced custom parts. Its powerful ecosystem transforms entire industries by empowering professionals and consumers everywhere to bring their ideas to life using its vast material selection, including plastics, metals, ceramics and edibles.
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Having experience with the other IT tools such as SQL/ Python, Power BI/ Tableau (would be a big advantage but not a must) 5+ years of experience in Finance Controlling, Financial Planning & Analysis (FP&A.
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Ability to access and understand the tools and technologies needed to perform SBDC tasks including use of the cloud technology and social media tools. Ability to access and understand the tools and technologies needed to perform SBDC tasks including use of the cloud technology and social media tools.
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Your proficiency in various facets of optometry, particularly in dry eye management, diabetic eye care, and contact lens examinations, will be integral to delivering efficient and comprehensive care to special populations.
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Must have performance testing experience with public cloud technologies such as Microsoft Azure, AWS or GCP. Good to have service emulation/virtualization knowledge, mobile performance engineering and SRE experience.
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Experience working with enterprise data warehouse, building data pipelines, and feature engineeringExperience using statistical computer languages to manipulate data and draw insights from large data sets (required: SQL, R or Python; preferred: Spark, SAS, Julia, SPSS)Hands-on experience with machine learning models, including regression models, classification models, clustering, dimensionality reduction, time-series models, hierarchical models, etc.
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