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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and Data Science tools. High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and Data Science tools.
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This position will work alongside Black Lotus Labs advanced security researchers, data engineers, malware reverse engineers, data scientists, and our customers to tackle evolving threats accelerated by technologies like our Hadoop ecosystem (HBase, HDFS, Spark, Kafka, AirFlow), Elasticsearch and Redis clusters, Docker using Docker Swarm, malware environment, and a network of honeypots.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Data integration tools, platforms, and pipelines such as Apache Airflow, Apache Spark, Denodo, or Palantir’s WarpCore. Data integration tools, platforms, and pipelines such as Apache Airflow, Apache Spark, Denodo, or Palantir’s WarpCore.
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Knowledge of data technologies such as SQL, Apache Hadoop, Spark, Airflow etc. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.Join us in driving growth and seizing new business opportunities.
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Conduct Pull Request (PR) reviews for both Scala/Spark applications and Python APIs to ensure adherence to best practices and coding standards. Perform unit and integration testing for Scala/Spark applications to maintain code quality and reliability.
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Minimum of 3 years of building and operationalizing large-scale enterprise data solutions using one or more third-party resources such as Pyspark, Talend, Matellion, Informatica or native utilities as Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache, Beam Composer, Big Table, Cloud BigQuery, Cloud PubSub etc.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL). 2+ years of data warehousing experience (Redshift or Snowflake). 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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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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Big Data Technologies: Experience with big data technologies like Apache Spark or Apache Kafka. Big Data Technologies: Experience with big data technologies like Apache Spark or Apache Kafka.
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Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS)is a significant plus. Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Cloudera CDH/CDP or Hortonworks Hadoop platform to include services like HDFS, Kafka, HBase, Spark, NiFi, etc. Cloudera CDH/CDP or Hortonworks Hadoop platform to include services like HDFS, Kafka, HBase, Spark, NiFi, etc.
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Spark, Presto/AWS Athena) Spark, Presto/AWS Athena) Laurea in un campo tecnico/scientifico (ad es. Familiarità con le tecniche di signal processing, detection theory, test statistici,regressione, ecc.
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Desired Skills: Hands-on experience with distributed computing systems: Hadoop, Elastic, Spark, EMR, Databricks, or otherKnowledge of AWS Cloud technologies: EC2, S3, SQS, SNS, VPC, ELBUnderstanding of servers operating systems: Linux, WindowsAbility to grasp database methodologies.
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spark job Company: Boys And Girls Club Of Bluffton in Vienna, VA
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