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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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4 Years of strong experience working with JAVA, IBM's JAVbased Extended Structured Query Language (ESQL), and development tools such as IBM Integration Toolkit, IBM MQ Explorer, and Oracle SQL Developer Oracle Business Process Management (OBPM), IBM Data power, IBM WebSphere Message Broker, and other integration technologies.
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Very comfortable working in the weeds with data using tools such as Microsoft Excel, SQL, Google Analytics, Looker/Looker Studio, Google Tag Manager, and other common reporting platforms.
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The ideal candidate will have a strong background in SQL Server development, hands-on experience with Azure Pipeline, and proficiency in working with Databricks for data processing and analytics.
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Must include experience managing computing and information infrastructure services in a local area network and cloud platforms such Amazon Web Services (AWS) or Microsoft Azure, strong command of Citrix systems and related technologies and relational databases such as SQL. Experience with endpoint management tools (Intune, BigFix, JAMF, Workspace, Ivanti.
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At least five (5) years of analytics development experience for a health provider, health plan or accountable care organization including:Experience working in a health plan and/or Health Delivery System focused on medical economicsExperience working in healthcare provider analytics related to managed care contracting, population management, clinical or financial decision supportStrong data mining skills using tools like SQL, R, Python, SAS, etc.
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Similar experience with SQL and IBM DB2 database solutions. Minimum of 10 years’ experience with COBOL, DB2, Command-Level CICS, JCL, Batch and TSO/ISPF. Job Role: Sr. Mainframe Developer. Hands-on experience with FIS applications.
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Proficiency in Azure services such as Azure Data Lake Storage, Azure SQL Database, Azure Data Factory, Azure Synapse, and Azure Databricks. - Strong programming skills in Python and SQL. - Familiarity with big data processing frameworks such as Apache Spark.
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SQL, Looker, Dashboard, Power BI, Tableau, Education, Non-Profit, Trend Analysis, Analytics, Insights, Statistics, Stakeholder Management. As a Data Analyst, you can expect to earn up to $125,000 (depending on experience) + highly competitive benefits.
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Extensive experience with, both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks.
$342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Microservices; Apache Kafka; J2EE; Jenkins; Spring; Hibernate; Java; Javascript; Python; SQL; REST; SOAP; Maven; JSON; Dynatrace; Splunk; GIT; Cucumber; Junit; Automated Testing; Manual Testing; Regression Testing; System Integration Testing; and Unit Testing.
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Assist Lead Financial Engineers in system implementations, including but not limited to: Sage Intacct, QuickBooks Online, Bill.com, Expensify, etc. Financial Engineer, Kiwi Partners (Hybrid in Durham, NC, Chicago, IL, Washington, DC, New York, NY, San Francisco, CA, or Remote; EST Preference.
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Preferred Qualifications Technical experience working with Technolutions Slate CRM and Liaison OutcomesExperience with Columbia’s SIS.Working knowledge of the following language: SQL, XML, HTML, CSS, and JavaScript.
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Strong quantitative skills, prior experience with coding and data visualization tools such as Python, Alteryx, SQL & Tableau. Post graduate degree or additional certifications i.e. CFA, CAIA JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.
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Must Have: General/Technical Skills: Excel (VBA), Intex (cdi programming language), Strong written and verbal communication skills 5-8 years of experience Undergraduate degree in Finance, Mathematics or Engineering Language(s) English Nice to Have: CAS, Python, Access, SQL, cdi MS in Finance, MBA French.
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sql job Title: data analyst financial in Jersey City, NJ
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