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Database Server on premise and AWS cloud skills are a must with Oracle and PostgreSQL. The basic automation skills, such as Ansible, Python, terraform for IAC are required. Solid knowledge of Oracle 19c and technical database concepts, including logical relational data modeling, physical data modeling, tuning large instances, resource management, data replication and backup/recovery techniquesAutomation skills, such as Ansible, Python, terraform for IAC.Knowledge and experience of AWS or Oracle Cloud Infrastructure and Cloud ServiceHands-on cloud migration experience is preferred.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools) Proficiency in programming languages such as Python for data manipulation, analysis, and model development.
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Using tools like SAS, SQL, Microsoft Excel, Essbase to access and analyze large amounts of data (may also use other tools such as Snowflake, PowerBI, Python, etc.) Using tools like SAS, SQL, Microsoft Excel, Essbase to access and analyze large amounts of data (may also use other tools such as Snowflake, PowerBI, Python, etc.
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Proficient in Web Analytics (GA), Tag Manager (GTM), Snowflake, Tableau, SQL, and advanced analytic tools (SAS, R, Python). Proficient in Web Analytics (GA), Tag Manager (GTM), Snowflake, Tableau, SQL, and advanced analytic tools (SAS, R, Python.
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Understanding of SQL and databases, and scripting experience with Shell, Bash, Python, or Perl to carry out database management functions. Experience with CMMS ticketing software, CRM (Zendesk, Five9), & Data Analytical.
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Experience with tools: UrbanCode, Spring Boot, and GIT.Scripting Languages preferred: Bash, Python, Ansible, GO, PHP, Javascript, and working with YAML/JSONPrevious experience in designing and engineering of environments in a 24x7 mission critical environment.
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ITSystemsAnalyst #SrITSystemsAnalyst #SystemsAnalyst #OhioMeansJobs #Columbus #ColumbusOH #OH #Ohio #NowHiring #SAP #SAAS #ITIL #ApplicationSupport #SDLC #Tricentis #Telematics #Data #ServiceNow #Cloud #Testing #Merrillville #MerrillvilleIN #Tableu #Automation #ContinuousIntegration #DataGovernance #Tricentis #Devops #API #Scripting #Python #Analytics #Design #environment #Metrics #Agile #Risk#Analysis #QualityAssurance #Standards #databases #QualityEngineering #TCOE #Data #Github #PowerBI.
$91,000 - $136,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Skills Required: Requires experience in the following: Oracle; UNIX; Hive; Performance Testing; Shell Scripting; GIT; Hadoop; Linux; Software Development; Big Data; Ab Initio; Informatica; SQL; XML. Job Location: 1111 Polaris Parkway, Columbus, OH, 43240.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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Hands-on experience with AWS native data lifecycle and pipeline solutions, relational and non-relational databases and data integration tools (such as Talend), and related / complementary open-source software platforms and languages (e.g. Angular, Java, Linux, Apache, Python.
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Preferred qualifications, capabilities, and skills: PhD in a quantitative discipline Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred Please note: No relocation is not offered and/or supported for this role.
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Perl, Windows Powershell, Vmware PowerCLI, Linux Bash shell scripting, python 3. REST API software development and testing tools such as POSTMAN, curl, HTTPie, and Python Requests library.
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Strong experience with R/RStudio, Python, SAS, SQL, NoSQL. 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.
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Programming experience preferred (SAS, SQL, R, Python). The Product Actuarial Analyst II will be responsible for pricing property and casualty insurance products with a focus on rate indications and profitability improvements.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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