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Net, SQL Server/SSIS/SSAS Reporting tools Angular / React Azure DevOps Visual Studio Azure DataBricks, Data Factory Domain experience : Working knowledge of Investment Securities Trading, Operations, Compliance workflows & Analytics) Designed and developed the applications using Agile Scrum methodology.
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Proficient using SQL, Monarch, Java, or XML, JSON, Groovy, SQL, Boomi. Preferred Knowledge of languages (JavaScript, JSON, Groovy, SQL, Boomi) You have highly-recognized professional certifications, such as: PMP, PHR, SHRM-SCP, CCP, CBP, HCS.
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5+ years of database experience with 2 or more of the following platforms: Oracle, DB2, SQL Server, MongoDB. 5+ years of Linux or Unix Server experience. 5+ years of Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs.
$111,100 - $237,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in analytical tools, specifically Alteryx Designer, Alteryx Server, Power BI, SQL, and/or RPA. In addition, you will assist in the implementation of the automation roadmap for audit, which includes improving audit department efficiency through Robotic Process Automation (RPA), leveraging tools like Alteryx and Power BI to enable continuous auditing.
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Net frameworks, SQL server, MongoDB, C#, Azure cloud services, Kubernetes, Dockers, Strong hands-on experience with Sitecore CMS, Magento E-commerce,. Net frameworks, SQL server, MongoDB, C#, Azure cloud services, Kubernetes, Dockers.
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NET Good communication skills Experience with working with GCP and/or OpenShift Experience with creating positive and negative scenarios for Automated Testing Ability to work independently Knowledge of MS SQL and/or DB2 SQL Familiarity with API testing, REST, Java.
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Demonstrated experience with SQL (PostgreSQL, Oracle, Teradata). Able to write complex SQL/procedures for data analysis. Experience creating powerful data visualizations using various tools (Tableau, Looker.
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Experience with:ETL tools, primarily Talend or similar (Ab Initio, Informatica)SQL (medium to complex queries)AWS (s3, Lambda, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.) Experience with:ETL tools, primarily Talend or similar (Ab Initio, Informatica)SQL (medium to complex queries)AWS (s3, Lambda, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.
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Experience with statistical / data software packages such as Netezza, SQL, Python, SAS Direct Experience with Credit Loss Forecasting (Either CCAR, CECL, or FP&A) If hired in CA, the base pay for this position is generally between $113,318 and $196,428.
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SAS and SQL knowledge (needed), Excel, R, Python (optional) These models are used to support multiple functions including underwriting, portfolio management, stress testing (HCR/DFAST) and loss reserve calculation (CECL/IFRS.
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Minimum years of programming experience in SAS/SQL/R/Python, with at least - years in the pharmaceutical industry. Requirements: Strong and advanced programming and analytical abilities in SAS/SQL/R/Python.
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Knowledge, Skills, and Abilities:Proven strong and advanced programming and analytical abilities in SAS, SQL, R, Python, etc. Essential Duties & Responsibilities:Design real-world retrospective and prospective cohort studies supporting pipeline and post-marketing productsDefine patient cohorts and health and economic outcomes Program in data process, management, and statistical analysis on registry and large claims/EHR/EMR databases using SAS/SQL/R/Phyton, etc.
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Proficiency in programming languages such as Python, Java, Scala, or SQL for data processing and manipulation. Familiarity with cloud platforms (, AWS, Azure, GCP) and their data services (, S, Redshift, BigQuery.
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Requires: Appium, Selenium, Azure DevOps, Agile tools, TFS, SQL Server and Java and Python scripting. Additional experience with SQL Server, SQL and scripting, Java and Python scripting.
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High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management.
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