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If you are you a Software Engineer who is experienced with Python (Django) and has an active Top Secret Clearance then please read on! A strong candidate will have 3+ years of professional software development experience with expertise in Python (Django) and at least a Top Secret Clearance.
$130,000 - $300,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As our first Data Scientist, you will leverage data to drive insights and strategies that will propel Hang's platform to new heights. Data Strategy: Contribute to the development of data collection strategies to optimize statistical efficiency and data quality.
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Head of Engineering | Next Gen Biosensor/Proteomics Start-Up | Report to Founder/CEO | San Francisco-based | Retained Search. Cornerstone Search Group has been retained by a next generation proteomics company with a highly engaged team focused on pioneering biosensors for molecular diagnostics.
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50% report creation, dashboard design, and data mining. Review the work of other data analyst(s) and provide feedback to improve efficiency. The Senior Data Analyst will create, manage, and analyze various database reporting tools to support corporate and operational decision makers.
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Our primary software stack is Vue.js and Nuxt with occasional backend implementations in Python, Node, REST APIs, and custom search interfaces using Elasticsearch. Our primary software stack is Vue.js and Nuxt with occasional backend implementations in Python, Node, REST APIs, and custom search interfaces using Elasticsearch.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Major, Lindsey & Africa (MLA) has been exclusively retained by Motion Picture Association, Inc.("MPA" or "Organization")to conduct a search for a Senior Vice President & Head of Global Litigation ("SVP.
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Design and Develop data transformation program in Python and other programming languages based on use case and business requirements. Knowledge and understanding of AWS data ecosystem like RDS, Data Migration Service, S3, Athena, Kinesis and others.
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Data Center/Cloud : Microsoft, Dell/VMware, HP, Cisco, AWS. Data/Analytics: Splunk, Tableau, Power BI, Click. Security: Okta, Crowdstrike, Palo Alto, Proofpoint, Cyber Ark, Sailpoint, Fastly, Fire-Eye, Fortinet.
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Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others. As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization.
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A track record of commitment to prior employers 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 5+ years of programming experience with modern languages such as Python, C#, Java, or Scala.
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O With support from the Impact Data Manager and external data partners, coordinate and centralize the process of establishing community-driven outputs for the initiative such as jobs created, community college success, debt & wealth, housing, benefits & food.
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Gain information on data collection efficiencies through collaboration with data analysts and contribute to the further automation of manual tasks. Closely interact with data scientists and analysts to build pipelines and warehousing solutions.
$100,000 - $200,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Familiarity with one of the Cloud data-warehouses like Snowflake, Google BigQuery, AWS Redshift, Azure Synapse, Databricks. Good understanding of data engineering fundamentals, ELT / ETL, latency, observability, lineage, distributed storage and distributed computing.
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Experience with data warehousing solutions (Snowflake, Databricks), feature stores, ETL tools (Airflow, Mage AI, DBT etc), and data modeling practices. Experience with big data technologies (e.g., Hadoop, Spark) and cloud services (e.g., AWS, Azure, Google Cloud Platform.
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