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10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In depth expertise with streaming data components Kafka, Spark, Flink Hadoop, Presto/Trino, RedisDemonstrated leadership, mentoring, and collaboration skills balancing strategic and tactical needs.
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Nice to have:B.S., M.S., or PhD in a related fieldPublications at conferencesExpertise with either big data infrastructure (e.g. Hadoop/Spark/Flink/Kafka/Airflow/Presto) or with using big data technologies for data processing, ETL, reporting.
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Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, BigQuery. Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc.
$145,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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3 or more years of relevant technical experience in AWS + Big Data (Cloudera) technologiesDesign, develop, and maintain end to end data solutions using open source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, AWS Cloud, etc.
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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
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We develop mainly in Golang, partly in Java, and also use Terraform, Kubernetes, Redpanda, Gazette, Hadoop and multiple Google cloud technologies (BigTable, BigQuery, Datatransfer jobs , Pub/Sub etc.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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You will be responsible for building out a holistic view of seller risk performance, identifying potential risks and supporting controls by leveraging analytics insights and tools (i.e., SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughtSpot/Looker, etc.
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Advanced knowledge in common penetration testing tools (Metasploit, Burp Suite, Cobalt Strike, Empire, KALI Linux etc.) Advanced knowledge in common penetration testing tools (Metasploit, Burp Suite, Cobalt Strike, Empire, KALI Linux etc.
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Snowflake/Databricks/Hadoop training certificate is a plus. For example, you will onboard new datasets from MongoDB/RDS/Kafka to Snowflake and Databricks, conduct impact analysis based on data lineage, and refactor data model for quality, reusability, performance and cost efficiency.
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Advanced programming and/or scripting skills in Python, Linux shell scripting, and configuration management platforms such as Ansible, Nornir, or Puppet. Research in IGPP spans a broad range of topics in geophysics including seismology, geodynamics, geodesy and crustal deformation, geomorphology, planetary physics, geomagnetism and paleomagnetism, oceanography and electrical methods.
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Network Engineer, Palo Alto, Firewall, Nexus, Switches, Catalyst, F5, load balancing, Linux. · Minimum five (5) years of experience supporting Redhat Linux Operating Systems. Network Engineer, Palo Alto, Firewall, Nexus, Switches, Catalyst, F5, load balancing, Linux.
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Experience working with a variety of relational SQL and NoSQL databasesExperience working with: Hadoop, Spark, Kafka, Scala, Python, R etc. Experience with at least one cloud provider solution ( Azure, GCP)Experience working with Databricks.
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Experience in working with embedded Linux systems like the Raspberry Pi or BeagleBone (ARM Class application processors) Execute DOEs (Design of Experiment) for things ranging from prototype EMI compliance to factory assembly procedures and alternate part validations.
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