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Hands on experience in writing, designing image processing system, complex operations on geo data. Strong hands-on expertise with at least one programming language: Scala, Java, or Python.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Hands-onexperience with large scale Big Data environments (Spark, Kafka, Hive, Hadoop) ● Ability to handle multiple competing priorities in a fast-pacedenvironment. This is an opportunity to work on interesting data engineering anddata science problems, build large scale distributed machine learningsystems from the ground up, anduse cutting edge Big Data technologies like Spark, Kafka, HBase and Hive. RESPONSIBILITIES: ● Design and implement data pipelines empowering real timeinsights.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Strong experience with big data technologies (e.g., Hadoop, Spark), database systems (e.g., SQL, NoSQL), and ETL tools. Experience in building platform on geospatial data management and processing.
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You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem that impact user communications, content operations, content programming, music, and user support.
$194,000 - $410,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hbase, Hive, Impala, Spark, Kafka, Kudu, Solr) You will builddata ingestion from various source systems to Hadoop using Kafka, Flume, Sqoop, Spark Streaming etc.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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4+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive,Scala, Airflow or a workflow orchestration solution are required. 8+ years of hands-on experience with developing data warehouse solutions and data products.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Using strong technical skills to turn big data in Teradata and Hadoop into actionable insights and the ability to focus on the big picture and connect the dots to evaluate how the insights impact eBay’s ecosystem.
$168,400 - $262,900 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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2+ years of hands-on experience in modeling(Erwin) and designing schema for data lakes or for RDBMS platforms. Provide ongoing maintenance and enhancements to existing systems and participate in rotational on-call support.
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A client of ours in Sunnyvale CA is looking for a Senior Data Engineer for a Contract on W2 opportunity. Capable of delivering on multiple competing priorities with little supervision. Mentor junior engineers on the team.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Must have hands-on experience in Big Data Technologies i.e. Apache Hadoop, Map Reduce, Hive, PIG, Sqoop, Flume etc. Must have hands on experience in modelling in predictive analysis.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Create data pipelines using Apache Hive, Apache Spark, Scala, Apache Kafka. Continuous Integration tools such as Bamboo, Jenkins, or TFS. Automate workflows using Apache Airflow. Atlassian products – BitBucket, JIRA, Confluence etc.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Hands on experience in Big data processing, Hadoop and Spark. Work on Search algorithm, web services, search indexing, data mining, big data, Hadoop, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe Clouds such as Creative Cloud, Document Cloud and Marketing Cloud.
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5+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive,Scala, Airflow or a workflow orchestration solution are required. 9+ years of hands-on experience with developing data warehouse solutions and data products.
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Hands-on experience on open source technologies Spark, Hadoop Stack, Kafka. Proven experience on working with NoSQL databases, preferably HBase and Cassandra. Building on top of the data layer, the team is responsible for delivering a rationalized set of core services.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Hands on experience with AWS, Azure and Google Cloud Platform. Hands-on experience with distributed query engines, query processing or optimization, distributed systems, concurrency control, data replication, code generation, or storage systems.
$154,545 - $209,091 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago
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