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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Education Doctorate or Masters’ degree in econometrics, statistics, data analytics, computer science or other STEM fields (e.g., physics, math, engineering, etc.) The individual will collaborate with IT, Data Governance Team, Credit Risk, Finance, Model Risk Management, Auditors, Off-shore consultants, vendors, and LoB partners throughout the Bank. The scope includes working across one or more of our main subject areas: R&D, Quarterly CECL Production and Dual Risk Rating Underwriting models.
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Strong level of understanding on Azure Data Factory, SQL/Synapse, ADLS, and Azure DevOps. Ability to conduct data profiling, cataloging, and mappings for technical design and construction of data flows.
$170,000 - $190,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The manufacturing engineering technician's responsibilities include identifying areas for improvement, exploring new manufacturing methods and conformance with customer requirements. Experience using CAD, CAM, data analysis programs, and related software.
$70,000 - $85,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in SQL, Excel, VBA, R, Python, or similar. Experience with model development including data visualization tools such as Tableau, R Shiny, or Microsoft BI. 1-3+ years’ experience as a business analyst, data analyst, data scientist or data engineer.
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Through our global network, FIS offers full brokerage services, trade execution and in-depth market intelligence and data for freight and commodities, as well as providing physical ship and cargo services.
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Lead on device-facing aspects of study: training, delivery, and implementation, data transfer (in liaison with Scientific Data Enablement)Maintain an in-depth understanding of industry trends and opportunities through qualitative research, insights, and market analysis.
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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Strong level of understanding on Azure Data Factory, SQL/Synapse, ADLS, and Azure DevOps. Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics or equivalent on another cloud provider such as AWS or Google Cloud.
$170,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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10+ years of hands-on Data Warehouse architecture and development experienceDemonstrated expertise in Microsoft SQL Server and/or Azure development. Ensuring data security and compliance with relevant regulations and best practices in all data operations.
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The Principal Data Engineer responsibilities include: Provide support in designing and overseeing enterprise-grade data pipelines and data stores, essential for the development of advanced analytics programs, machine learning models, and statistical methods.
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Essential Duties and Responsibilities:The responsibility of Principal Data Engineer encompasses the entire lifecycle of the Data Warehouse environments that underpin our vital business requirements.
$185 a year (bonuses)Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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40% data engineering. using ML or NLP/LLM modeling to improve data impact and efficiency in Cust Ops. Most of the time data scientists work in teams using collaborative filtering, k-nearest neighbors, market basket analysis and matrix factorization methods.
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Post Production Maintenance Engineer provides documentation of systems and support procedures to be utilized by the larger engineering, production, and operations teams at the facility. Design infrastructure solutions to match business needs – Apply best design practices to meet project goals, translate project scope from client into efficient engineering solution; contribute to budget development.
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Bachelors degree in environmental management, business, real estate, public administration, civil engineering, urban forestry, or a related field. , environmental management, business, public administration, civil engineering, urban forestry or a related field and 5 years of.
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data engineering sql jobs in Stamford, CT
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