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Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, GCP, Hadoop, and more. Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.
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Data Visualization: Tableau, Looker, Power BI, Quicksight. Highly experienced Data Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and google cloud ecosystem.
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The Data Scientist will be responsible for driving insights from the vast amounts of patient and environmental data available within our data warehouse. Data Scientist (Healthcare) 100% Remote.
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Hands-on experience with Databricks and Snowflake for data engineering and analytics. Implement data pipelines and ETL processes using Databricks and Snowflake. Required background/ Skillsets: Prior working experience in Data bricks Snowflake Python Data science background Proficiency in Python for software development and scripting.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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The GIS Analyst is responsible for geospatial data management, analysis, and visualization, including dashboards, web maps, and web app configuration, data transformations and performs other related duties and special projects as assigned.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
$138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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With over 15 years of data center construction experience under their belt already, the client is looking to bolster their QA QC team in Mississippi, where they have one of their largest daata center projects breaking ground at the end of the month.
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Domain experience with financial datasets like FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT is a plus Demonstrated Experience in Python programming and familiarity with core data science libraries.
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SG,Management Center, Proxy AV/Content Analysis System (CAS), WebPulse, Data Leak Prevention (DLP), integrated windows authentication from another enterprise-class proxy vendor (Cisco, Forcepoint (formerly Raytheon Websense), Intel Security (McAfee), Zscaler, or Palo Alto Networks.
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3+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics Data Design Generative AI AI/ML ML Ops 3+ years of experience using Python.
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Individual contributor who can work with minimal to no support with very strong expertise and experience in the following areas: AWS Cloud Architecture Serverless Architecture Microservice Architecture Integration Architecture - Messaging, API and File Distributed Data Architecture REST and GraphQL API XML/JSON Observability and Monitoring HA, Resiliency Architecture Data Lake Design and Architecture.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Job Title: Senior Data Engineer (Remote - California) Design and develop scalable data pipelines using tools like Apache Spark and Kafka. Familiarity with data warehousing solutions (Snowflake, Redshift.
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This role involves setting up and maintaining permanent data pipelines from diverse sources into our data fusion engines, specializing in drone data, satellite imagery, RF emissions, OPIR data, Ad tech, AIS, ADSB, CTV, and full-motion video data.
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data job Title: data scientist Company: Deloitte in Richardson, TX
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