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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. Analytical mindset with a strong ability to translate complex data into actionable business insights.
$147,200 - $229,925 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
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Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks.
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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.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of experience with big data and SIEM solutions such as ArcSight, Splunk, ElasticSearch, Logstash, Azure Data Explorer, Azure Log Analytics, Azure Data Lake, or Azure Sentinel.
$112,000 - $238,600 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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3+ years of hands-on experience in AWS and Big Data technologies such as S3, Lambda, LakeFormation, DMS, Kinesis, Kafka, Redshift, RDS, Aurora, Neptune, DynamoDB, ECS, Glue, DataBrew, Python, R-Studio, SageMaker, Spark/SparkSQL, Eventbridge, as well as programming in Python, Java, Spark, SQL, Unix shell/Perl scripting, etc.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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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. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert understanding of MS Office, Excel, SQL, or other data visualization tools and big-data analytic techniques for structured and unstructured data. Practical understanding of MS Office, Excel, SQL, and PowerBI or other big-data analytic techniques for structured and unstructured data.
$85,800 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data. Lovelytics is seekinga skilled consultant with experience delivering and leading strategic Databricks and data engineering client engagements.
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Practical understanding of MS Office, Excel, or other data visualization tools and big-data analytic techniques for structured and unstructured data. As a C-UAS All Source Analyst, you will conduct data analysis of specialized C-UAS threat systems data to assist with Department of Defense (DoD) Force Protection (FP) efforts to understand, minimize and mitigate the threat posed by Unmanned Aerial Systems (UAS) against critical infrastructure, locations, assets and personnel.
$85,800 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Manage scope of Building Management System (BMS) and Electrical Power Monitoring System (EPMS) for construction of AWS data centers. Ensure data center controls are deployed in accordance with AWS standards, specifications and scope of work (SOW.
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Provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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Data Storage and Processing: Knowledge in managing data lakes, warehouses (e.g., Snowflake, Databricks, Redshift), and big data frameworks for batch and streaming architectures.
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Semantic model and report development experience using common Business Intelligence or data exploration tools (e.g. Power BI, Tableau, Qlik, Oracle BI, Cognos, MicroStrategy, Business Objects, etc.
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big data jobs Title: business analyst Company: Accenture in Vienna, VA
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