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Load and process disparate data sets using technologies including but not limited to DBT, PostgreSQL, Elastic search, Snowflake, Spark, Java, and Python. Hands-on experience in data engineering, business intelligence, data modeling.
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Advanced proficiency in Alteryx, SQL Server, SQL programming, and Azure App Services. Strong foundation in ETL, data warehousing, and data modeling principles. Additional programming knowledge, particularly in Python.
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Strong python, Spark, Airflow, and kubernetes background. Modeling tools experience, such as Toad Data Modeler, Erwin, and Embarcadero. In depth knowledge of modeling or architectural patterns, governance methodologies, and potential limitations within MongoDB.
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Need strong SystemVerilog and Verilog-AMS for analog mixed-signal circuit verification experience; proficiency in chip-level and subsystem-level modeling, simulation and debugging for analog mixed-signal circuits.
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Career opportunity to join expanding chemical leader as Lead Engineer for maintenance and reliability of rotating equipment for the plant site.
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Work closely with other functions within the SSC groups (A/P, A/R, Fixed Assets), Corporate Controlling, Region Finance, and local operations to administer standard business processes as a member of the Shared Services Center for North America.
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Expertise in MS-SQL, Databricks, Python, PowerShell, and additional scripting languages. Responsibilities: Craft reusable, efficient, and testable code across various languages including Python and PowerShell to streamline data processing and system integrations.
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Automating network deployments and operations using scripting languages, such as Python, and infrastructure as code tools, such as AWS CloudFormation and Terraform. Expertise in at least one programming language, such as Python or Golang.
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C#, SAS, R, MATLAB or Python etc. Master’s Degree or Doctoral Degree in Finance/Economics with a quantitative or applied emphasis or MBAs with a focus in finance and a quantitative background with 2-5 years’ work experience in quantitative research or mathematical modeling in financial services industry or academia.
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Key responsibilities: Help Documentation: Write clear, concise, and informative help content and FAQs to support users in navigating the chatbot and resolving common issues.
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Work with software development Citi's Cloud Networking Solution CNS (middleware platform developed in Java/Spring Boot), experience in Python, Golang is highly desirableTest Driven Development (TDD) and Behavior Driven Development (BDD) understanding.
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Assist with configuration build-outs including creating network provisioning automation using Python and tools such as Ansible. Ability to write white papers a plus Background in Perl, Python, Scripting for creating network automation is desired.
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This role will report to the Vice President of Financial Planning & Analysis and will require skills in financial planning, modeling, analysis and reporting. Expectations include building financial models, then quantifying, analyzing, and documenting assumptions, while ensuring consistency across the models following approved modeling standards.
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As a Data Scientist in our Decision Sciences R&D organization, you will be responsible for researching and building optimization, control theory, simulation, and machine learning applications to extend Epsilon Digital’s ad personalization platform.
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Management of surge modeling projects for the water and wastewater industry is the primary focus of this position with a secondary focus of business development. Freese and Nichols is seeking an experienced hydraulic transient engineer to serve as a discipline lead of FNI's surge modeling team.
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