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The Senior Clinical Database Programmer (RAVE) is also responsible for performing Clinical Data Management System Administration tasks as well as providing user management support related to Clinical Data Management Systems required for clinical studies.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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Oversee Silver Lining Mentoring’s donor database through regular data input, data clean-up, gift processing, and donor updates; provide training and support to team members as needed.
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Experience with Data mining, database, functional analysis, machine learning algorithm, dashboarding and data visualization is desirable. In-depth understanding of modern database and information technologies and ability to organize large volumes of data.
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Data storage, database infrastructure, and data engineering) to maintain efficient and secure management of data assets as well as application hosting. Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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The IETAM applies business knowledge and trends to drive innovation across all technologies, including Media Supply Chain, Live and On-Demand Video Streaming, Content Production, Media Data Analytics, Artificial Intelligence for Media, Compute, Database, Data Analytics, Application-level services, Networking, Serverless and more.
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Knowledge and experience across data management domains, including data science, data governance, metadata management, data quality, business intelligence, data security & privacy, and data strategy.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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The Senior Snowflake Database Engineer is a staff member of Data, Analytics and BI Transformation team. The primary focus is snowflake database user and objects management, usage cost analysis and recommendation, performance tuning of queries, monitoring and alert configuration, implementing data governance, exploring new capabilities, and resolving user reported issues quickly.
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And will report to the Director, Database Analysis & Development and under the leadership of the VP, IT Infrastructure & Operations. Working knowledge of Azure data platform – data factory, data catalogs, data lake, analytics, Azure storage options, Azure SQL, Cosmos DB, Azure DevOps, etc.
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The Division of Health Policy and Insurance Research (HPI) SAS Programmer/Analyst assists with database development, software programming, data management, statistical analysis, and results reporting for a variety of internal and external projects.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Collaborate with other peer organizations (e.g., Business Analyst, Data Modeler, QA, technical support, etc.
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The Data Engineer and System Administratorwill have primary responsibility supporting, maintaining, administering, and upgrading the database appliances, analytical servers and storage, and analytical software we use for client work including Red Hat Enterprise Linux, Ubuntu, AIX, Netezza, R, RStudio, SAS, Stata, MATLAB, IBM Spectrum Scale and IBM Spectrum Protect.
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As the tech lead, you will have technical ownership over the full EFL stack: Mobile front-end UI customization for use in emerging economies -> systems and database infrastructure -> back-end asynchronous scoring systems -> integrating mobile, social, and GIS data into EFL’s product -> building integration platform and framework for plugging EFL into other fintech platforms.
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Our research team is based at the Broad Institute of MIT and Harvard, with members in the Data Sciences Platform, Program in Medical and Population Genetics, and Stanley Center for Psychiatric Research, and in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH) and Harvard Medical School.
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data database jobs in Watertown, MA
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