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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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This position also requires knowledge of external data concepts, working knowledge of data collections (EDC & Non-EDC), industry standards (CDISC / SDTM), and technical skills for integrating and importing external data received from CROs, vendors and other Partners.
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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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Design data governance solution frameworks, covering all tenets of Enterprise Data governance, aka Data Catalog, Metadata Management, Lineage Management, Business Glossary, Data Quality Management, Data access and controls, Data Marketplace.
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Partnering on key initiatives on behalf of IHC Capital team in on both Basel IV and other initiatives like control testing, data governance, upstream data testing, etc. Prior experience in managing governance and controls framework and familiarity with Basel III Endgame ideal.
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Experience working with data management projects having experience in data analysis, data governance, data quality and lineage. Experience with any of the following is a plus: Quantum, Swift, Aladdin, Clearwater, Chatham Financials, Pinnacle, QRM.Data Analysis - Sources, compiles, and interprets data.
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Data Processing Platforms like Dataflow, Databricks. ETL or Data integration tool : Experience in Talend is highly desirable. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
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Understanding of data governance, data quality, and data integration techniques. Proficiency in Microsoft Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake, etc.
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Good understanding of clinical standards as well as clinical data sets from major EDC systems (e.g., Medidata Rave, INFORM), safety systems (Argus), and CTMS systems. Develop and validate programs (SAS or R) to generate displays of clinical study data as tables, listings, and graphs for electronic submission to regulatory agencies.
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Beltone offers innovative hearing technology, plus superior patient care which makes us a great place to grow professionally.
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Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. 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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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Act as a data engineering expert and partner to Global Technology and data consumers in controlling complexity and cost of the data platform, whilst enabling performance, governance, and maintainability of the estate.
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As part of NMG’s Environmental, Social, Governance (ESG) work, the organization is focused on driving its core value of being “All Heart.” Boost sales through omni channel and out of home base selling.
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Complete trial-specific Statement of Work (SoW) based on parameters supplied by Master Service Agreement (MSA) for Electronic Data Capture (EDC), electronic Patient Reported Outcomes (ePRO) and Interactive.
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edc data governance jobs in Florham Park, NJ
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