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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 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Azure Synapse, Big Data or Snowflake is a plus. Skills required: Azure Data Factory, DataBricks, Data Lake Architecture, Azure DevOps, Python, SQL, solid understanding of Azure fundamentals and security best practices, Release management.
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Responsible for the documentation, implementation, startup, and technical support of Programmable Logic Controller(PLC) and Human Machine Interface (HMI) programming with an emphasis on SCAD (Supervisory Control and Data Acquisition.
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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Knowledge of Big Data Platforms (Cloudera, Databricks), Big Data Technologies (Scala, Impala, etc.) Role: Big Data Modeler / Architect (FX Domain) Experience in Big Data Modeling/Architecture.
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Keywords: Brooklyn NY Jobs, Data Expert, ERP Systems, ERP Data Conversion, ERP Data Cleansing, Database Management, ETL Tools, Data, Data Quality, Data Governance, Master Data Management, Microsoft Dynamics 365, Microsoft Dynamics Business Central, DBA, Database Administrators, Database Administration, Data Steward, Data Analyst, New York Recruiters, Information Technology Jobs, IT Jobs, New York Recruiting.
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Experience with Big Data platforms Apache Spark, Apache Airflow, and Apache PySpark. Design and implement highly scalable distributed systems and storage using advanced algorithms and data engineering tools such as Spark, Airflow, and Kafka.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with Databricks for big data processing. Development and integration of DevOps related tool chain across Operations and Development organizations like TFS, Azure DevOps Service, ARM Templates, Visual Studio, GitHub and Data protection & privacy knowledge.
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System automation, scripting using Power shell and deployment tools (Azure DevOps Service, TFS, Chef/ Puppet etc. Experience implementing industry best practices like code analysis, unit testing, test automation pipelines, security controls using Azure DevOps/TFS, performance testing using VS etc.
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Minimum 2 years of experience in development using Data warehousing, Big Data Eco System Hive (Hql) & Oozie Scheduler, ETL IBM Data Stage, Informatica IICS with Teradata 1 Year experience of deploying google cloud services using Terraform.
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Your expertise in Java, Python, Spark cluster management, data science, big data, REST API development, and knowledge of Databricks and Delta Lake will be essential in driving the success of our data initiatives.
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Job Req ID: 24075 About Supermicro: Supermicro (SMCI) is a global leader in high-performance, high-efficiency server technology and innovation is a premier provider of end-to-end green computing solutions for HPC, Data Center, Cloud Computing, Enterprise IT, Hadoop/Big Data and Embedded Systems worldwide.
$75,000 - $107,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical or programming skills to handle big data, online search, online advertising attribution and online/offline marketing optimization problems. Analyze big data sets to generate deep insights on paid media, organic media, market conditions, web navigations, and individuals’ propensities on multi-step conversion activities in the consumer journeys.
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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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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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