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Required background/ Skillsets: Prior working experience in Data bricks Snowflake Python Data science background Proficiency in Python for software development and scripting. Hands-on experience with Databricks and Snowflake for data engineering and analytics.
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Domain experience with financial datasets like FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT is a plus Demonstrated Experience in Python programming and familiarity with core data science libraries.
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If you any experience with some of the automation side (Ansible, Python, then those are plusses. REQUIRED SKILLS & EXPERIENCE: 7+ years of Network experience Cisco, Meraki, Cato, and/or Palo Alto Extensive knowledge with routing protocols – BGP/OSPF/EIGRP Solid understanding with network monitoring & metric applications, troubleshooting, analysis DESIRED SKILLS & EXPERIENCE: Bachelors or Associates degree Any Windows, VMware, Hyper-V, O365, and/or Azure is a plus.
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Ability to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, DataBricks, Github, MLFlow, Airflow). Experience with visualization technologies (e.g.: RShiny, Streamlit, Python DASH, Tableau, PowerBI.
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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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Python, Java, JavaScript, etc., Experience with configuration management tools and practices, such as, Bitbucket, Confluence, Jira, etc. Experience with Unreal Engine or other computer graphics engines, experience with 3D modeling standards & tools (Blender, Creator, OpenFlight, etc.
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Desirable Experience with web development using technologies such as NET, JavaScript, jQuery, REST, XML, JSON, PHP, AJAX, HTML5 and CSS Experience with Python and/or Model Builder Experience with developing and implementing secure web GIS applications, with ArcGIS Server 10.
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Exposure/understanding DevOps best practice and CICD (i.e. Jenkins) Exposure/understanding of containerization (i.e. Kubernetes, Docker) Competencies: Digital : Python, Digital : Snowflake. Role name: Developer Role Description: Strong in SQL and Python, 5+ years experience.
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Hands-on experience working on analytical platforms like SAS, R, Python, Azure ML. Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn.
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Proficient in Excel/VBA, SQL, Python, Tableau, and Bloomberg. Proficient in Excel/VBA, SQL, Python, Tableau, and Bloomberg. 5+ years of experience in a hedging, market risk, quantitative analytics, or a related field.
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PreferredHands on experience in working on Advanced Excel with Smart view Power BI Python Google Big Query Tableau Looker Google Slides SQL experience and familiarity with relational databases.
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Strong working knowledge of databases, data modeling and modern cloud-based data architecturesStrong working knowledge of data and analytic tools and programing languages including but not limited to SQL, Python, Map Reduce, SAS, R, SageMaker, S3, Git etc.
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Applying knowledge of data analysis by querying big data (Swift payment messages, and KYC data elements) using Python or R (minimum 10 Terabytes); performing data transformation and cleanup for data usage in machine learning models, and migrating data from on premise to cloud environments (AWS RDS.
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Proficiency in programming languages such as Python, R, or Scala, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience with data visualization platforms (e.g., DOMO, Tableau, Power BI) to clearly communicate findings.
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System/network administrator level experience of Unix/Linux Hands-on experience with Terraform, Python and Unix shell scripting is required. Experience in setting up continuous integration of source code pipelines using Gitlab, Jenkins, Terraform, and continuous deployment pipelines using Artifactory Experience with high availability, load balancing and failover configurations with Apigee.
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