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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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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.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Database entry and updates – MLS, Transaction Manager. The Regional Support Specialist (RSS) provides critical administrative, operational and customer service support to our branch offices, leaders and agents.
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The Senior IT Client Support Specialist is responsible for providing effective Tier 2-3 frontline client support and deskside assistance for Tufts faculty and staff using available technical tools, such as the knowledge base, remote management suite, and a service-management database.
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The Data Science Specialist also works closely with the Data Lab Manager and the Senior Data Science Specialist to assist with the day-to-day operations of the Tufts Data Labs, which includes providing guidance and instruction to Data Lab student assistants and providing assistance with the development and maintenance of hardware, software, and systems infrastructure for data analysis and visualization.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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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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Projects will include data-intensive federal government projects focused in social science and public health research. Preferred: Experience with data from behavioral health programs, including those administered or funded by SAMHSA, HRSA, CDC, or other relevant agencies a plus Preferred: Experience utilizing secondary data sources to supplement primary data analyses (e.g. census data, geographic data, key national health indicators, etc) What We Offer We foster an environment where you can Thrive Your Way. Our innovative total rewards programs are designed to help balance your work and personal life.
$83,000 - $140,000 a year (equity)Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Driving Results : Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and the entire AWS suite of technologies.
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Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL). Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
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Have hands-on experience developing and supporting a modern data infrastructure, including cloud data warehouses such as Snowflake, BI tools such as Looker, and data orchestration platforms such as Airflow.
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Experience with one or more data visualization/dashboarding tools like Power BI, Tableau, R/Shiny. Experience with one or more programming languages for data analysis, such as R, Python, SAS, SPSS, Stata.
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Experience working with cloud data warehouses (Snowflake, BigQuery, and/or Redshift) We are looking for a Principal Data Analytics Engineer with experience in data modeling to join the Data Engineering team at CarGurus as we scale out our data modeling framework in dbt.
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Skills and experience in statistics, data analytics, and data management languages such as R, Python, Stata, SQL, etc. Preferred: Experience with data from behavioral health programs, including those administered or funded by SAMHSA, HRSA, CDC, or other relevant agencies a plus.
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data specialist database jobs in Newton Lower Falls, MA
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