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Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio. Database Platforms (DBaaS) : Snowflake, RedShift, Azure SQL DW, Azure SQL DB.
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Strong experience in data research using SQL/SAS/R/Python for data analysis. Write SAS/SQL/VBA/Python code to extract data to perform data analysis and research for data integrity.
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Strong knowledge of IaC via Terraform HCL, SQL, Python, Apache Spark, Gitlab CI/CD pipelines, MLOps, Databricks Bundles. Strong knowledge of IaC via Terraform HCL, SQL, Python, Apache Spark, Gitlab CI/CD pipelines, MLOps, Databricks Bundles.
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Experience with statistical models and tools (R, Python, MatLab, MiniTab) Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages.
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Proficiency in Python, Spark, Java, SQL, DataOps.live/DBT, Snowflake. Be sure to highlight your experience with cloud, ETL, SQL, and Python! Demonstrate proficiency in SQL language, as well as working knowledge of common transformation methodologies, techniques, and tools.
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Such tools include SQL, Python, R, Tableau, Power BI, or similar platform. Parking or Van Pool: The City of Minneapolis Transportation Benefits Plan gives you options to pay certain commuting costs.
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And PLC Programming (Studio 5000) and/ or Experience with manufacturing software support such as C#, SQL, Network Architecture, Python or R, Oracle or SQL Server, Web Development, SAP, and OPC Standards, Knowledge of software configuration management and change management practices.
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Coding experience in Python, SQL, and R. Data visualization tools such as Power BI or Qlik Sense. Machine learning or deep learning algorithms, natural language processing techniques. Apply statistical, machine learning, and NLP techniques to identify patterns, extract meaningful insights, or develop new tools or solution for the business stakeholders.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Strong programming skills: majority of work will be in Python, SQL, & Excel; qualified candidates may have experience in these languages OR other programming languages (R, SAS, VBA). Ideal candidates would have strong critical thinking skills, familiarity with actuarial rate adequacy methodology, and a good technical background in Python, SQL, and/or VBA. Experience in other programming languages (e.g., R, SAS) is also acceptable.
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Mandatory – SSIS, SQL / SSIS /SSRS, airflow, Control M, Autosys, Qlik view, Data stage, Informatica Python/Scala/PySpark Reverse engineering of Legacy platforms Mapping of Legacy models to Cloud Cloud migration experience from Legacy Skills Required: + years of experience required Strong experience in SQL / SSIS /SSRS Orchestration experience with any scheduler (airflow, Control M, Autosys etc.
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Strong ability to code within various languages including Python, JavaScript, C#, & MS SQL. Prior experience with PostgreSQL & Django a plus. Cumberland Advisors seeks to add an experienced Full Stack Developer to work closely with the firm's Chief Innovation Officer.
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The ideal candidate would have a strong technical skillset in Python, SQL, and/or VBA. Experience in other programming languages (, R, SAS) is also acceptable. Business Acumen:Has an in-depth understanding and knowledge of a few basic business drivers and disciplines such as: underwriting, products, reinsurance, distribution, sales, operations, risk control, claim, and financials.
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5 years of experience with data science and analytics technologies such as Python, SQL, Tableau, Alteryx, AWS Redshift and Lambda, and/or Google Cloud Platform. 5 years of experience with data science and analytics technologies such as Python, SQL, Tableau, Alteryx, AWS Redshift and Lambda, and/or Google Cloud Platform.
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Experience with USDA, FDA, OSHA, EPA, requirements for manufacturing processes - Development of statistical models and data analytic tools using MS Excel, VB, SQL, Python are a plus. Schwan’s Company, a U.S. affiliate of the global lifestyle company CJ CheilJedang Corporation, is a leading U.S. manufacturer and marketer of quality foods offered through retail-grocery and food-service channels.
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