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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. The job locations include Chantilly, VA. Education and Experience: A bachelor's degree and at least ten years of experience Active Top Secret/SCI with Polygraph Skills and Knowledge: Experience in cloud services such as AWS, Microsoft Azure, Google Cloud, IBM Cloud, or Oracle Cloud, including associated tools like EC2, EBS, S3, etc.
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud. Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Demonstrated experience with programming in the following technologies and tools: Java, Python, JavaScript, Anaconda, Angular, Groovy, Apache NiFi, Solr, Elasticsearch, Kibana, Node, SpringBoot, PostgreSQL, Neo4J, Terraform, Docker, and Apache Tomcat.
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Experience with Hadoop, Apache Spark, SOLR, elastic search and/or Cloudera. Experience with Hadoop, Apache Spark, SOLR, elastic search and/or Cloudera. NETWORK SECURITY ANALYST: Senior Level Location: Chantilly, VA US.
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Exposure to Big Data Infrastructure such as Spark, Storm, and Hadoop. Excellent understanding of typical multi-tier architectures: web services (Apache, nginx, ISS), caching, application servers, load balancers/application delivery controllers.
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Experience programming in Apache Spark and PySpark. Experience with Apache NiFi. SAIC is seeking an experienced, results-oriented, mission-driven Big Data Architect with a specialized focus on Data Engineering to perform data model design, data formatting, and ETL development optimized for efficient storage, access, and computation in support of national security objectives.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Certification in Databricks (Champion or Professional), Apache Spark and/or Cloud Platforms (AWS/Azure) preferred. 8+ years of professional experience with Data Management technologies and a minimum of 8 years of EDW Experience with 3 - 5 Years of Experience with Databricks, Lakehouse Architecture, and/or Spark/Scala.
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You will be working with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform. Significant hands-on experience designing and implementing reusable frameworks using Apache Spark (PySpark preferred or Java/Scala.
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About the Role: We use Tableau and Quicksight for Data Analysis; Apache Spark for Big Data Processing; and they should have used at least one AI tool: Amazon Q; Google Cloud AI; Google Cloud Smart Analytics; Tableau AI.
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Familiarity with software and technologies including Microsoft Azure, AWS, Google Cloud Platform, Apache/Spark, Elastic, R, Power BI, SAS, Snowflake, and Teradata. Familiarity with software and technologies including Microsoft Azure, AWS, Google Cloud Platform, Apache/Spark, Elastic, R, Power BI, SAS, Snowflake, and Teradata.
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Experience with distributed computing technologies including Hadoop, HBase, Cassandra, Elasticsearch and Apache Spark a plus. Hands-on experience working with Elastic Search, Mongo DB, Node, Hadoop, Map Reduce, Spark, Rabbit MQ, NiFi and Docker.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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ETL Processes: Implement and manage ETL processes using advanced tools like Apache Airflow, Spark, or similar. Big Data Technologies: Extensive experience with big data technologies (e.g., Hadoop, Spark.
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Multiple certifications including advanced engineering certifications in the following areas: SnowPro Core/Advanced Certification (Data Engineer), DB2 Fundamentals LUW, Microsoft Certified: Azure Data Engineer Associate, Collibra Ranger Certification (Data Governance), Ab Initio - Certified Data Integration Developer, Certified Data Warehouse Developer, Databricks Certified Associate Developer for Apache Spark/Cloudera Spark and Hadoop Developer Certification, dbt Fundamentals.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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AWS such as EC2, S3, RDS, DynamoDB, EMR and Glue. Big data technologies such as NoSQL, data processing, MapReduce, Hadoop, Apache Spark, PySpark. AWS such as EC2, S3, RDS, DynamoDB, EMR and Glue. Big data technologies such as NoSQL, data processing, MapReduce, Hadoop, Apache Spark, PySpark.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with Apache Hive, Apache Spark, Hadoop, and R programming. Experience with Apache Hive, Apache Spark, Hadoop, and R programming. Experience using Databricks for data transformation and modeling.
$260,625 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
apache spark jobs in Chantilly, VA
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