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Position Description: This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Work collaboratively with application engineering, DevOps teams, and data scientists to ensure full integration and optimization of AI/ML models and Big Data processing. Design and prototype robust applications that integrate complex data processing methods and functions tailored to enhance the functionality and efficiency of the 2030 Decennial SoS.This role is not focused on LLM, ChatGPT or other similar technologies, it instead focuses on and requires linking and matching AI experience.
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Utilize data integration tools such as Oracle, SQL, Server, Python, R or Scala. 10+ years of experience with data integration tools such as Oracle, SQL Server, Python, R or Scala.
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Experience with Big Data technologies and platforms such as Apache Hadoop, Apache Spark, and NoSQL Databases for the storing, processing and managing of large structured, semi-structured, and unstructured data sets.
$226,700 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Benefits: R Java Python REST SQL NoSQL Tableau Azure Big Data storage TITLE: Big Data Architect IT Consultant MasterLOCATION: Washington DC/ Onsite MINIMUM EDUCATION: Bachelor’s degree in IT, related field, or equivalent experience.
$80 - $90 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter.
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They also use and advise on such tools as machine learning, natural language processing, web scraping, big data platforms, and data visualization techniques and their application to relevant public policy issues.
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Scala Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.
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Prior tech sector experience preferred, including cloud services and big data. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
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Lead the integration of state-of-the-art cloud-based Large Language Model (LLM) solutions (such as Bedrock, Azure, Claude Sonnet) with our existing data infrastructure. This role supports the CIO/CDO through the implementation of data governance, data architecture & design, data quality initiatives, and community engagement programs through information sharing to harmonize the development of an enterprise data infrastructure.
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Experience or proficiency with industry software, including CAD/Microstation, Open Roads Designer, Synchro, Vissim, HCS, ArcGIS, Remix, InDesign, and/or big data analysis tools is a plus.
$80,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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This role involves performing detailed cost analysis, reporting, and data integration between financial systems, specifically leveraging OBIEE and Oracle EBS to provide accurate financial insights.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Data science techniques such as predictive analytics, machine learning, natural language processing and business intelligence, including use of big and non-tabular data. Advanced skills in statistical analysis using Stata, SPSS, R, SAS, or SQL for the purpose of Advanced skills in using data visualization platforms such as advanced Excel visualizations, Tableau, PowerBI, Metabase, Google Data Studio, etc.
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big data integration jobs Company: Lintech Global in Washington, East-hartford, Connecticut
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