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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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7+ years expertise in big data ecosystem for data integration, data storage, compute framework, analytics, and advanced visualization (i.e., ETL Tools, Streaming Tools, No-SQL data bases, Spark, Airflow, ELT tools like DBT, Reporting Tools, AI/ML Platforms.
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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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Big Data tools: e.g. Hadoop, Spark, Kafka, ElasticSearch. Determine the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Search and Rescue Swimming Skills (5 weeks at Rescue Swimmer School in Pensacola, Fla.) Survival, Evasion, Resistance and Escape (SERE) techniques (2 weeks at SERE School in North Island, Calif., or Portsmouth NH.
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Experience with big data technologies and tools (, Databricks, Hadoop, Spark) is a plus. What you need to succeed Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
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The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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Experience and proficiency implementing frontend and backend services for cloud-native software products and solutions such as VueJS, JavaScript, Python, Django, Flask, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, and/or the MongoDB NoSQL database service.
$172,800 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience as a Data Modeling SME or similar role with a focus on Databricks, Tableau, GA4, Looker, and PowerBI. Proficiency in Python for developing and implementing analytics solutions.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum list of certifications goes on and on.
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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
$19 an hourPart-timeExpandApply NowActive JobUpdated Today
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