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Management and migration to Microsoft Azure Active Directory Modern Management from legacy AD domain joined environments, including GPO translation and conversion. Data Science / Analytics using a multitude of data sources.
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Familiarity with common Python data engineering packages such as Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3. We are seeking an experienced Python Developer to join the Big Data and Advanced Analytics department.
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Identity Management: Proficient in managing both on-premise Active Directory and Azure Entra for identity and access management. Direct hands-on involvement in the management and optimization of IT services including Microsoft Azure, Office 365, Intune, Co-Pilot, and Fortinet products.
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This role is responsible for the design and delivery of Workiva's Data Management Suite comprised of Wdata Tables/Queries/Views, Chains, Data Prep, Python scripting, and source system integration.
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Nifi, Python, kafka, Databricks, Informatica or any other integration technologies. Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g. Eagle, State Street Alpha platform.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Proficiency with Python or Rust, ORTools and data science libraries such as Numpy, and Pandas. Explore and visualize aerospace simulation data to support algorithm development. Building tools to automate data collection and analysis.
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Data Science tools – R, Python, SAS, dataiku, DataRobot, Cnvrg, Anaconda. Data Prep/Transformation tools – Tableau Prep, Hadoop, Alteryx, Paxata, Trifacta, Altair, Talend. The Lead Technical BI Analyst will work with customers from clinical, administrative and/or operational areas across the System to provide analytical tools that drive insights, complex data extracts and data integration, reports and/or advanced dashboard visualizations to facilitate discovery of insights, new opportunities, support data-informed decision-making for identified challenges as well as develop new and enhance existing metrics to analyze ongoing performance metrics.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy. The Payment Model Implementation Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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Some familiarity with computational biology methods, including experience in Unix/Linux, scripting languages (Perl, Python), and statistical languages (R, Matlab) is also preferred. The ideal candidate will have strong scientific writing skills, experience in genomics, and extensive training in molecular biology and next-generation sequencing methods.
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Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management, Data Controls, Design, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity, Long Term Planning, Managing Ambiguity, Market Analysis {+ 5 more.
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EnLink Midstream is seeking a seasoned data professional that will be responsible for the design and implementation of data management practices, reusable design patterns, and evolving the data services roadmap in partnership with business stakeholders.
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They will also work closely with their peer VP, Infrastructure and Operations partner to ensure effective data backups and restoration is consistent with best practices (inclusive of disaster recovery and business continuity.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world.
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python data active directory jobs Title: engineer data in Houston, Vienna, West Virginia
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