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Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Consulting Services Senior, AI & Data - Master Data Management. Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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As a Senior Data Engineer supporting Workplace Investing (WI) - Healthcare Group (HCG), you are deeply entrenched in building data infrastructure, with a passion for using tools and frameworks to guide the development of stable, robust, and resilient data environments that best serve our business.
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As Data Engineer, you will be responsible for overseeing all aspects of our Azure data processing pipelines, including development, implementation, and testing. This is an excellent opportunity for a talented Azure Data Engineer who is looking to advance their skills and work with cutting-edge technologies in the Information Technology and Finance industry.
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Preferred experience with FEA, GD&T, engineering report writing, data acquisition, data analysis, Arduino & Raspberry PI programming, general coding, hand tool, power tools. Work alongside current Test team executing engineering report writing, data acquisition, data analysis, Arduino & Raspberry PI programming, general coding, hand tool, power tools and more.
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A bachelor's degree in computer science, business or equivalent experience and eight (8) or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Hands on experience with AWS Cloud services like EC2, VPC, S3, IAM, CloudFormation and Lambda; relevant experience with AWS cloud security is highly preferred. Do you love securing business critical applications, systems and services, including Privileged Identity Management, Intrusion Detection, Data Leakage Prevention, Web Content Filtering, Firewall Compliance, Vulnerability and Security Event Management.
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We are looking for an Aesthetic Nurse Practitioner who has trained with industry partners, has hands-on patient experience with Injectables, and is comfortable providing full facial assessments and consultations.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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The RTP team is responsible for the Hardware Lifecycle of all Meta servers including pre-production hands-on system and hardware debugging and stress testing, enabling production-ready system monitoring, automated provisioning and automated remediation of issues.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Progressive outside Sales experience in a technical sales environment, ideally from the integrated security, networking/data cabling and/or commercial audio-visual industries. Own the creation of your annual sales plan and develop your strategic approach for your market to increase sales in all company service offerings including integratedsecurity, networking/data cabling, and/or commercial audio-visual.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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hands data jobs Title: senior data engineer in Austin, TX
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