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Proficiency in Microsoft Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake, etc. MHA provides expertise in Group Purchasing, Managed Care and Payer Contracting, Reimbursement Management, Specialty Pharmacy Solutions, Pharmaceutical Data Analytics, Consultant Pharmacy Software and Legislative Advocacy.
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Understanding of data governance, data quality, and data integration techniques. Proficiency in data visualization tools like Power BI, Sisense. Familiarity with data integration tools (e.g., Apache Kafka, Apache Nifi.
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Net, Angular, Python, SQL, SSIS, SSAS, SSRS and azure technologies. Strategic planning, incorporating emerging technology trends and industry standards to define the CST vision and strategy for DevSecOps, CI/CD, Test Automation, Site Reliability and Performance engineering, Performance testing, Test Data Management, Lower Environment management, Developer productivity.
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MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.) 7 years of demonstrated experience in Omnichannel marketing and analytics space, inclusive of digital display, online video, premium OLV, CTV, paid search, social media, and website marketing; and familiarity withdigital targeting, activation, trafficking, and measurement.
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Proficiency with languages such as Python, SQL, and PySpark. Experience in working with Machine learning and AI concepts related to RAG architecture, LLMSs, embedding and data insertion into a Vector data store.
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Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL). Data Engineer will be critical to design, develop, and maintain the infrastructure and systems necessary for the collection, storage, processing, and analysis of large volumes of data.
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Knowledge of data storage and manipulation tools such as MS SQL, Alteryx, Python, R, etc. Perform a wide range of catastrophe modeling projects. Be a client advisor in areas such as catastrophe risk management, underwriting support, pricing adequacy, and reinsurance decision-making.
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Knowledge/experience with programming languages including Python (preferred), R, SQL, etc., Prior experience with data visualization tools and libraries such as Power BI, Tableau, Matplotlib, Seaborn etc.
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Expert SQL development, analysis, design, and performance skills in database technologies such as DB2, Oracle, SQL Server, Cassandra, and Snowflake to build highly performant physical data models.
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Roseland office of a BCG Attorney Search Top Ranked Law Firm seeks a patent attorney with 2-5 years of solid experience. BCG Attorney Search. The candidate must have experience as a patent attorney (additional experience as a patent agent is a plus) with significant experience preparing, filing, and prosecuting patent applications for software, including operating systems, middleware software, directory servers, network management, virtualization, and cloud computing.
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The VP, Engineering will l ead scaling the global data and software engineering team s in managing the foundational enterprise data platform and creat ing tools and frameworks that enhance data collection and processing, analytics and artificial intelligence , data dissemination , and governance.
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Skills Required: JAVA, J2EE, Spring Boot, Spring MVC, RDMS data bases like (Oracle, Postgre SQL, SQL Server), File systems, Designing Large scale Applications and AWS. JAVA, J2EE, Spring Boot, Spring MVC, RDMS data bases like (Oracle, Postgre SQL, SQL Server), File systems, Designing Large scale Applications.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Support Daiichi Sankyo internal business departments, data steward, and sourcing partners with the following activities: capacity planning, problem management, impact of application issues and overall application (s) stability and associated delays (incident management), operational support for data exchange, integration and data loads, communication on issues and resolutions to DSI.
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Extensive experience writing, optimizing, and analyzing SQL, with robust capability to interpret complex data requirements and architect solutions. Our tech stack continues to evolve: Azure Data Factory, Azure Data Lake, Azure Synapse, Power BI, Collibra, Databricks, MLflow, RStudio, Harness CI/CD, OpenShift, GitHub, JIRA.
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