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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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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 yearPart-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, and Hive, including Spark, Hadoop, AWS EMR, or Kafka. 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.
$172,000 a yearPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Processing - experience with building and maintaining large-scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper. Primary technologies used include: Go, Python, Linux, Kafka, AWS, Redis, Docker, Kubernetes, Cassandra, Terraform, Envoy, Node. JS.
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Bachelor’s degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. Familiarity with some of these tools: DB2, Oracle, SAP, Postgres, Elastic Search, Glacier, Cassandra, DynamoDB, Hadoop, Splunk, SAP HANA, Databricks.
$138,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., Azure, Snowflake, AWS, GCP) Certification in relevant technologies (e.g., AWS Certified Big Data - Specialty, Microsoft Certified: Azure Data Engineer Associate.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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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.
$193,617 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working with in-stream data processing and analytics using Apache Kafka, Flink, Beam, or similar. One of our founders, Karthik Gollapudi, was a Dragon flight software lead responsible for two Dragon missions to the ISS. His team used SpaceX’s end-to-end data platform before, during, and after every Dragon mission.
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This position will work alongside advanced security researchers, data engineers, and malware reverse engineers, and data scientists 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.
$193,617 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using OSINT methods for investigation, including discovering signatures that can be used for hunting in our data holdings. Research and analyze threat actor activities on the Internet using Black Lotus Labs data holdings to develop analytical models to aid in the detection of malicious or anomalous events found in large data sets.
$193,617 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure. Extensive professional experience with Big Data systems, data pipelines and data processing.
$248,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Advanced skills in data analysis and data governance tools (e.g., SQL, SAS, TOAD, Python, Hadoop, Teradata, Databricks, Snowflake, Tableau, Collibra, Infosphere, Alation, etc. Serve as Data Steward dedicated to health care payer, producer data operations & initiatives.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year of experience in big data technologies.
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Sr. SRE ( Site Reliability Engineer) - Data DevOps/ DataOps/ No- SQL, Kafka , Databricks, Kubernetes, Kafka , Terrafoam. Experience with using Kafka, Event Hub, NATS or any messaging broker.
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