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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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Expert in data services design, Secure by Design concepts, Microservices, Structure SQL and other query patterns. Nifi, Python, kafka, Databricks, Informatica or any other integration technologies.
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Utilizing big data analytics platforms including Apache Hadoop, Spark, Data Lakes, and Databricks, and analytics, data management, and data integration services provided on Microsoft Azure, Amazon AWS, and Google GCP.
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Minimum of 3 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), AWS Glue, Microsoft Azure Data Factory, IBM Infosphere DataStage, or any ETL applications.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy. The Payment Model Implementation Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS; Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS.
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Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data. Implement best practices for data management, security, and governance within the Databricks environment.
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Extensive experience with Data warehousing tools such as Hadoop, Exadata, Teradata, Collibra, C3 and Visualization Products such as Tableau, Unreal etc. Participates / Lead in developing information Solutions and Strategies; provides thought leadership to define and drive information strategies and frameworks (Information/Data - modeling, integration, business intelligence, Data Science, governance, security, management.
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Thoroughly understand secure application design principals, including the areas of authentication, authorization/least privilege, logging, encryption, data masking, data retention, and secure data transmission.
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The ideal candidate will have: Database Engineer, Data Engineer, Agile scrum, Kafka, SQL database, ETL, Data Analytics, BI experience, Data Analytics Qualified candidates should APPLY NOW for immediate consideration Please hit APPLY to provide the required information, and we will be back in touch as soon as possible.
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Experience with Oracle, SQL Server, Alteryx, Teradata, DB2, Netezza, Hadoop, SAP eLedger, Rally, Visio, ETL tools and Data Management tools. Coordinate with PMs for metric tracking and materials based on Alteryx data and ECC materials.
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Recommended application security certifications (one or more): OSCP/ OSEP/OSWE, CEH/LPT, CPT/CEPT, CASS, CASE, CMWAPT, CRTOP, GIAC GEVA/GPEN/GWAPT/GCPN/GXPN/GMOB/GDAT. Provide strategic and tactical security guidance for secure application development, including the evaluation and recommendation of technical controls.
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Training or experience with Databricks, Spark SQL or Python. Experience with real world healthcare data such as MarketScan, Optum, EMR, EHR, DRG, PharMetrics, and/or Medicare databases.
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Experience with integrating application security tools into Enterprise vulnerability management systems (e.g., ServiceNow) NET (preferred), C#, JavaScript, Python, or other modern OOP languages Experience managing automated application security testing tools, including Static and Dynamic Application Security Testing (SAST/DAST) and Software Composition Analysis (SCA.
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