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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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Support relevant Navy, Joint, DoD, and/or interagency meetings and working groups that address IAMD, evolving CID / Battle Management (BM) technologies: Big Data, AI, ML, Mission Planning, Battle Management Aids, FFT and IFF Mode 5 capabilities, including program technical and programmatic exchanges such as program reviews, program planning and implementation reviews, milestone decision meetings, Integrated Product Teams, Special Advisory Boards, and off-sites.
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Cyber Security, Data Analytics, Big Data, Cloud Computing, Signal Processing, IT Modernization, Software Engineering, DevSecOps, and System Engineering. Job Description To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging.
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Optimize the performance of big data processing tasks and analytics jobs. Collaborate with cross-functional teams, including data science, business intelligence, and infrastructure teams.
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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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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 distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$58,400 - $133,000 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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Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data. Experience with large-scale distributed computing and big data technologies (databricks etc.
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As a Specialist Solutions Architect (SSA) - Data Engineering on the Public Sector team, you will guide customers in building big data solutions on Databricks that span a large variety of use cases.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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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. Experience designing, testing, and implementing information and data management systems, including mobile applications, transactional systems and business intelligence implementations.
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. Experience using Infrastructure as Code (IaC) best practices for provisioning and configuring cloud services including experience tools such as Terraform or AWS CDK.
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Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc. The Data Platform team is responsible for ingestion of tens of thousands of events per second, data Lakehousing (Databricks), OLTP stores (Hbase, OpenSearch) and APIs. The customers of the Data Platform are the internal business units who use it for data engineering, AI/ML, and Business Intelligence.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Big Data Skills (Hadoop, Spark, recent deep learning platforms). Deploy and optimize machine learning solutions on massive datasets using big data technologies. Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders.
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big data jobs Title: business analyst Company: Verizon in Washington, DC
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