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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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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
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GAI is a Federal government IT partner that focuses on Artificial Intelligence, Big Data Analytics, Cloud Computing, and Cyber Security. An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. We need a big data experienced professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
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As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources. Work with us to use big data for good. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. 6+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 6+ years of programming experience with modern languages such as Python, R, C#, Java, or Scala.
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Prior experience in Cybersecurity Operational Risk Management, supporting CISO in deployment and sustainment of cybersecurity capabilities, and previous big four experience preferred. Develop effective and measurable metrics (KRI, KPI and KCI) to analyze data and proactively identify trends or new/emerging risks.
$138,000 - $206,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big data: Redshift, Bigquery, Presto, Athena, ElasticSearch etc. The Senior Software Engineer will work on maintaining and enriching robust applications that deal with data processing and business operations.
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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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While our syndicated products focus on the TMT industry, our custom research, both quantitative & qualitative, and data analysis work spans a variety of industries including eCommerce & retail; blockchain, Web3, and cryptocurrencies; financial services & real estate; politics, public policy & public affairs; CPG, FMCG, & FMPG; healthcare; and travel, transport, lifestyle, & hospitality.
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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. The ideal candidate will lead the architecture and implementation of on-premises and cloud big data solutions as part of enterprise data modernization.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. For Senior Data Engineer (III.
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Experience working with Python, R, SQL, and Spark for Big Data Analytics. Experience with ML frameworks such as scikit-learn and Big Data feature engineering for ML. Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML.
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big data jobs Title: senior developer Company: Intuit in Mclean, VA
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