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Your expertise is needed on our Finance Team to collect and manage project data in compliance with Department of Treasury’s Community Development Financial Institutions Fund (CDFI Fund) program requirements, including all CDFI programs (FA, NMTC, CMF, ERP, etc.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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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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DATA ARCHITECT Propose new database architecture and support data migration from an existing Legacy system to a new structure Create source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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A Tier I technician will gain an on-the-job understanding of the mechanical, electrical, fire life safety, and security systems used in a data center environment including, but not limited to the following: electrical distribution and layout, transformers, PLC's, generators, switchgear, UPS systems, STS', ATS' PDU's, chilled water systems, CRAC/CRAH's, pre-action sprinkler systems, security hardware, CCTV, monitoring, and CMMS systems.
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Utilize geospatial data from Uber Freight's carrier network to understand carrier behavior and regional areas for improvement. Leverage location data by applying data science techniques and.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Level 2 support for market data applications (Bloomberg, Thompson Reuters / Eikon Refinitiv) Ability to provide a first line support for business / market data applications such as: Bloomberg, FactSet, etc.
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Recent experience in information security management and practical cloud security experience within a corporate environment, preferably in global companies, with at least five years managing and developing Purview DLP, Audit, Communication Compliance, Insider Risk Management and Data Classification project including Sensitive Information Types, Exact Data Matches, Sensitivity Labels, MIP Scanner, Auto-labeling, trainable classifiers.
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Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Experience modernizing legacy data warehouses into the Cloud working with software such as Snowflake, Databricks, AWS Redshift, AWS Glue, AWS Lamba and other AWS services. Experience working with Protegrity data security software and/or other tools that can encrypt/tokenize data at rest and in motion.
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Rotational opportunities include positions supporting various business groups, such as the below: Global Risk Analytics Corporate Treasury Enterprise Credit Risk Data, Digital & Global Marketing Model Risk Management Global Markets & Financial Risk Enterprise Independent Testing *Team assignments are developed based on business need and aligned to skillset and therefore cannot be guaranteed.
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3+ years of experience in predictive modeling, advanced analytics, or data analytics preferably in property/casualty insurance, reinsurance, or consulting. Aons Strategy and Technology Group (STG) are seeking an experienced actuarial/data science student to join their team and help to accelerate the development of their actuarial advisory business focused on clients in the insurance and reinsurance industries.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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data job Title: data analyst Company: Crossover in Chicago, Ada-county, Idaho
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