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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 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.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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As a Client s Software Engineer, you ll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. You ll bring solid experience in emerging and traditional technologies such as: Scala, node.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Familiarity with big data technologies (e.g., Elastic Search, Apache Hadoop, Spark, Kafka, etc. Ability/experience to research and develop algorithms to analyze structured cyber-security data, including supervised machine learning, entity resolution, classification, and the implementation of analytical algorithms on a distributed cloud-based infrastructure.
Full-timeWork from homeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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5+ years of extensive knowledge and experience in the Data technologies for Data Analytics, Data Warehouse, Data Mart, BI, Big Data (Hadoop, HBase, Hive), N, JDBC, SQL, Java, Python, R.
$182,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with big data technologies and tools (, Databricks, Hadoop, Spark) is a plus. The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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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. 3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Plano 1 (31061), United States of America, Plano, TexasSenior Data Engineer (Python, Kafka, Databricks, AWS.
$165,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advance experience with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, AirByte, Snowflake. Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies.
$261,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity in data visualization tools such as Hadoop, Spark, Tableau, PowerBI, Splunk, Excel, and/or Oracle. Works on problems of moderate scope where analysis of situation or data requires a review of identifiable factors.
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Experience with AWS cloud native services for big data storage and processing. This is an opportunity to support data management and engineering activities on some of the most mission-driven projects in the industry.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The selected candidate will be responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Job Description: Title: Data Engineer Location: On-Site in Arlington, VACitizenship/Clearance Requirement: US Citizen with an active TS/SCI Clearance requiredJob Description: Our client is seeking experienced Data Engineers to join their Advana team.
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hadoop kafka big data on jobs Company: Abbott in Mclean, VA
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