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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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Leverage a broad set of modern technologies including Python, R, and Spark to analyze and gain insights within large data sets. Manage, architect, and analyze big data in order to build data driven insights and high impact data models.
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B.S. in Computer Science (or equivalent experience) and at least 3 years professional experience working as part of an Agile team using DevOps practices and modern programming languages and frameworks to develop and engineer data-related services and applications to cloud platforms.
$100,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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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.
$75,600 - $172,000 a yearFull-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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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects. We need a big data 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.
$96,600 - $220,000 a yearPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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4 to 6 years of work experience in Big Data Technologies such as Spark, Databricks or Hadoop. Skills: Data Analyst/ Engineer, Python, SQL, Tableau, Snowflake, Scala, Spark, AWS (S3, DynamoDB , ECS, Fargate), Databricks, API.
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Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field, or the equivalent combination of education, training and experience.
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Data mining: Utilize NLP technologies to extract insights from internal data sources, including a mix of structured and unstructured data.
$126,610 - $215,270 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data Engineer - Fully Remote in Africa / EU. Knowledge of AWS Big Data/Analytics services - S3, EMR, Glue, Redshift, QuickSight, Kinesis. As a Big Data Engineer you will have a strong understanding of big data technologies with an exceptional ability to code.
$280 - $340 a dayRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in JavaScript, with experience in modern frameworks such as Vue.js. Experience in GUI development with modern JavaScript frameworks (Vue or React), promise-based web services (Axios), user-experience refinement, graphic design, and working understanding of CSS and HTML.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Cyber Data Science (CDS) is looking for a data-focused professional with cyber security experience to join our new and growing team. Bachelor's Degree in Computer Science, Cyber Security, Engineering, Data Analytics, or related field.
$200Full-timeExpandApply NowActive JobUpdated Today
modern big data jobs Title: data science in Mclean, VA
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