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Your expertise is needed on our Finance Team to collect and manage project data in compliance with Department of Treasury’s Community Development Financial Institutions Fund (CDFI Fund) program requirements, including all CDFI programs (FA, NMTC, CMF, ERP, etc.
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The Far Horizons program is currently doing fieldwork using two main instrument sets designed and built at the Adler: the GONet camera system, which collects all-sky nighttime environment data in the field, and the NITELite system, which is a high-altitude balloon-borne camera system that collects regional scale night-time images from the stratosphere.
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Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, and loading into Data Lake/Cloud Data Warehouse/MPP (Snowflake/Redshift/similar Technologies.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure.
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Collaborate with Business and Analytics leaders as well as the CIO organization to develop a Contact Center Data Strategy and Roadmap, in partnership with EDS and Architects, for evolving from the current-state data ecosystem on-premises to a target-state data ecosystem leveraging cloud-native technologies.
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Hands-on expertise of multiple modern storages and services such as Snowflake, Azure SQL, ADLS2, Azure Cosmos DB, Databricks, MongoDB, CockroachDB, DataStax, Oracle, Sybase, DB2, or Redis Working experience using Data Pipeline (ELT or ETL) tools such as Talend, NiFi, dBt, DataStage, or ADE Experience in implementing architectures that are in compliance with global data privacy rules.
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Due to the unique complexities of the business such as technology and data security, it is time for a new partner with the appropriate expertise and resources to invest in the future growth of Kodiak.
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Source and transform data into the knowledge graph in a scalable and efficient manner using open-source or commercially available etl solutions (e.g., Informatica, BigQuery, AbInitio, Azure Data Factory, etc.
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A key responsibility it to act as the technical visionary and leader for ongoing and future software development efforts using advanced data and analytics technologies such as HANA, Qlik, Tableau, BODS and BO reporting tools.
$221,200 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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We seek a talented Associate Data Scientist to join us as we develop our data-driven, analytic-focused, and predictive products to help revolutionize the law enforcement risk management ecosystem.
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Acts as data and technology specialist for the School to ensure proper filing of all official records, proper security access to official records, proper disposal of records based on university policy, and proper inventory of all of the School's technology/equipment.
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Utilize strong background in Data Loss Prevention (DLP), Cloud Access Security Brokers (CASB), Secure Access Service Edge (SASE), data protection products and practices and customer research and insights to represent the voice of the customer to the engineering team(s.
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Required Skills & Experience Design, develop, and maintain scalable data pipelines and ETL processes using both Java and Python within a Hadoop ecosystem (HDFS, Hive, Spark,. As a Data Engineer specializing in fraud detection services, you will play a pivotal role in our technology team, focusing on building robust data pipelines and scalable infrastructure within a Hadoop environment.
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If you have at least 3 years of data scientist experience in a sophisticated environment, expert Python, SQL, and AWS, and a degree (BS and/or MA in Math, CS or related) and want to be valued, please apply today.
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Title: data in Wood Dale, IL
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