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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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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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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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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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Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert and Hands-On development in distributed computing environment using Hadoop, Scala, Spark and Apache Airflow. Familiarity with Snowflake or DataBricks a plus. Develop Data Pipelines using Scala and Spark EMR to move data into our consolidated data lake or data warehouse (Snowflake.
$142,800 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 4 days ago - UpvoteDownvoteShare Job
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Expertise in open source technologies like Elastic Search, Logstash, Kakfa, MongoDB, Hadoop, Spark, Trino/Presto, Hive, Airflow, Splunk. Expertise in open source technologies like Elastic Search, Logstash, Kakfa, MongoDB, Hadoop, Spark, Trino/Presto, Hive, Airflow, Splunk.
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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 4 days ago - UpvoteDownvoteShare Job
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Experience with big data processing technologies and databases, such as Apache Beam, Hadoop, Spark, Kafka, Pub/Sub, Dataflow, BigQuery or Bigtable. Founded in 2018 by engineers from Stanford, Cisco Meraki, and Samsara, Spot AI is the fastest growing Video Intelligence company in the U.S. We are upending the $30 billion video surveillance market with an AI Camera System to help people at work create safer, smarter organizations.
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Expertise in building Big Data Services using open source technologies like Elastic Search, Flink, Logstash, Kakfa, MongoDB, Hadoop, Spark, Trino/Presto, Hive, Airflow, Splunk. Expertise in building Big Data Services using open source technologies like Elastic Search, Flink, Logstash, Kakfa, MongoDB, Hadoop, Spark, Trino/Presto, Hive, Airflow, Splunk.
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Experience with a variety of High-Performance computational frameworks (Spark, Hadoop, Elasticsearch, Kafka, AirFlow, etc. Implement SQL queries for RedShift, and/or a Hadoop job on EMR; and define and implement computational tasks on Spark and other High-Performance platforms.
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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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Experience in open-source technologies like HBase, Hadoop, Kafka, Spark, Presto, Hive, Airflow. Experience in open-source technologies like HBase, Hadoop, Kafka, Spark, Presto, Hive, Airflow. 3+ years of demonstrated ability working within and building on public cloud (AWS, GCP, Azure) and demonstrated ability deploying with a CI/CD orchestration services (Jenkins, Spinnaker.
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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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hadoop job in San Francisco, CA
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