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Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema) Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog. Operating at the cutting edge of Embedded Finance and Ecosystem Lending, Prime’s focus is on embedded lending, where sophisticated data analytics are utilized to sharpen the accuracy of pre-qualification and underwriting processes and also deliver financial solutions that are customized to the needs of businesses.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The primary objective of the Data Organization is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and experience outcomes; and enhance payment operations with both services and product development.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Solid understanding of relational database modeling and design, including experience building data-intensive applications in data warehouse technologies like BigQuery, Snowflake or something similar.
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The Cyber Security Specialist (Data Security) continuously identifies, tracks, shares, and supports operational IT security requirements across the Ninth Circuit, with an emphasis on data security and analysis.
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Solid understanding of data warehousing concepts, data modeling, and database design principles. Experience with Customer Data Platforms (CDP) like Segment, mParticle, Tealium AudienceStream or other industry leading CDP technology would be a plusHands-on experience with marketing platforms such as Google Analytics, Adobe Analytics, Marketo, HubSpot, Salesforce Marketing Cloud, etc would be a plusFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud, and their data services (S3, Redshift, BigQuery, etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Wherobots helps those companies bring their geospatial data down to earth and drive value from it for their business and their customers through full-featured and scalable computation, querying, analytics, and visualization capabilities.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Build, maintain and target client database (from internal and external sources): convention business, tour operators, meeting planners, party planners, corporate, social, concierges, non-profit, fundraisers, DMC's, etc.
$73,000 - $92,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Collaborate with technical teams to leverage technology solutions for knowledge management within data center construction projects, including document management systems, collaboration platforms, and data analytics tools.
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Ability to design, implement, and update PostgreSQL and BigQuery database schemas. Build simple database-driven web apps using lightweight open source packages. Use appropriate machine learning and statistical methods to gain insights from our experimental data and publicly available proteomic, transcriptomic, and genomic resources.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Provide coordination for study execution, database management, and initial data QC with guidance from principal investigator and other senior research group members (postdoctoral fellows.
$64,500 - $70,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience using computer technology in applications or systems programming, computer systems development, web development, database administration, or planning of data processing. Strong technology proficiency in one or more of the following areas is highly desired: Aladdin technology suite, data model & data feed interaction, API’s, industry technology (e.g. CNS, Swift, OMGEO), data and reporting toolsets (e.g. ADS/SQL, Microsoft Excel VBA/Macros, Power BI), Python, etc.
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Experience with data visualization tools such as Tableau, MixPanel, Google Looker. The Lead Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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CI/CD orchestration (Jenkins, CircleCI, or TravisCI)ETL, data modeling, cloud-based data storage, processingGCP Data Services (Dataflow, BigQuery, Dataproc)Workflow and data pipeline orchestration (Airflow, Oozie, Jenkins, etc)Container orchestration technologies (Kubernetes, OpenStack, Docker swarm, etc)Open source software involvementMonitoring/Logging with technologies like Splunk, ElasticSearch, Logstash/Fluentd, Stackdriver, Time-series databases like InfluxDB etc.
ExpandApply NowActive JobUpdated 6 days ago
data entry database jobs in San Francisco, CA
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