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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience analyzing data from security tools such as EDR, SIEM, Firewall/UTM logs, Vulnerability Assessment reports, Pen test reports, etc. Significant experience with the design installation and management of firewalls, including IDS/IPS integration and configuring UTM (unified threat management) features such as AV, Content filtering, IPS/IDS, etc.
Full-timeRemoteExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience in SAP integration with trading platforms (e.g., FXall, 360T) and market data feeds (e.g., Bloomberg and Reuters). A hands-on expert in SAP Treasury core components, spanning Cash management, Transaction manager, In-house cash, Risk analyzers, Liquidity planner, Hedge management and accounting, SWIFT integration, BCM, and integration with financial accounting and other applications.
$128,235 - $213,725 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Minimum 4 years of experience in data analytics cycle (data gathering, transformation, mining, modeling, analytics, and reporting) using data analytics tools like SAS, Alteryx, Tableau, PowerBI, SQL, R, Python and/or ACL.
$92,114 - $156,880 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a direct report to the Chief Information Security Officer (CISO), the Vice President of Subsidiary and Integration Security will oversee the security programs of Humana subsidiaries and lead the team to manage M&A and integration security activities.
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Experience with Continuous Integration, Continuous Deployment, DevOps, and Infrastructure as code utilizing tools such as Atlassian Bamboo, Github Actions, AWS Cloud Formation, pytest, Cucumber, Splunk, AWS Cloudwatch and other testing and monitoring tools.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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X UNIX Shell scripting, Autosys, Cloudera CDP, Hadoop (Hive, Impala, PySpark, Scala) and Data analysis. Good experience in SDLC, Agile, Continuous Integration Continuous Delivery, and change management (CICD ) - Jira, Bitbucket,Jenkins, Artifactory, Ansible.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience building data acquisition routines in a tool such as Trifacta, Alteryx, Microstrategy, Tableau, Cognos (or other similar business intelligence applications) Experience building queries to source data from a variety of different types of data sources such as DB2, Teradata, Oracle, SQL Server, Hadoop, Hive.
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Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2. Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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Understanding of Oracle Cloud SaaS and OCI application and integration data security. Hands-on Oracle Cloud PaaS Oracle Integration Cloud (OIC) developer to build integration with legacy application with Oracle Fusion Financials CloudHands on experience in using Oracle Integration Cloud – OIC Instance Setup, FTP, SOAP, REST, BIP Reports, SaaS and PaaS applications.
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Ability to obtain or currently hold one or more of the following certifications: SAS Certified Big Data Professional, SAS Certified Data Scientist, Certification of Professional Achievement in Data Sciences, Certified Analytics Professional, CFE, CIA, CISA, CPA, CAMS, or CRCM.
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Strong experience working with ETL/ELT concepts of data integration, consolidation, enrichment, and aggregation in large volume data sets. Experience with cloud-based data warehouses - e.g. Snowflake, BigQuery, Azure Synapse, RedShift, etc Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage. Data Pipeline Construction - Develop and maintain end-to-end data pipelines for streamlined data processing and analysis.
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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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