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Facilitate seamless integration of SharePoint with PowerApps and Oracle APEX for centralized data access. Experience with relational databases, particularly Oracle, SQL Server, and data integration tools.
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Optimize and manage Oracle databases, with a focus on data integration, cleansing, and storage. Proficiency in SharePoint development and administration, with a focus on data management, workflows, and integration.
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The developer will work closely with business analysts, data engineers, and stakeholders to build solutions that improve data accessibility, integration, and insights across the organization.
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Lead the optimization of OneStream's end-to-end architectural design for seamless data integration and optimal performance. 4+ years of experience in data modeling, financial analysis, and system operations.
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Data Conversion and Integration Experience: Demonstrated experience with Oracle HCM Cloud data conversions and integration tools, including Oracle Integration Cloud (OIC), BI Publisher, HCM Extracts, HDL (HCM Data Loader), UCM, and managed file transfer (MFT) tools.
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Optimize OneStream Architecture : Lead the end-to-end design for seamless data integration and optimal performance. Experience : 4+ years in data modeling, financial analysis, and system operations.
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Collaborate with the data warehouse and reporting teams to ensure seamless integration of data into Snowflake and proper visualization in Tableau. Work with the data warehouse team to ensure compatibility with Snowflake and integration into existing data flows.
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Experience with cloud data warehouses like Snowflake, Google BigQuery, Amazon Redshift, and Azure Synapse Analytics for efficient data storage, integration, and analysis. Experience in any of the tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, Hbase, Cassandra, etc.
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The Research Data Services team prioritizes, develops, and delivers software capabilities and change requests using the Agile Methodology, applying best practices and tools for continuous development/continuous integration processes for testing and deploying solutions.
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Experience with data integration tools such as Informatica Intelligent Cloud Services and MuleSoft. Solid understanding of data engineering principles and experience with data integration and ETL processes.
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Position Overview: Seeking a skilled Data Integration Engineer to collaborate closely with AWS Infrastructure, Site Reliability Engineers (SREs), and Data Engineers. If you're passionate, curious, and ready to contribute to groundbreaking data integration solutions, we invite you to join our team.
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The specific project would be tailored according to the interests and expertise of the postdoc, but possible projects include developmental GTEx, regulatory variant mapping and characterization large single-cell data from T cells, analysis of transcription factors as drivers of genetic associations and regulatory networks, and integration of population genetics and CRISPR perturbation data.
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Proficiency in Informatica Cloud Data Integration tools and Informatica Intelligent Cloud Services (IICS). Implement data integration workflows, data mappings, and data transformations using Informatica Cloud tools.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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data integration jobs Company: Highmark Health in New York, NY
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