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Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice. Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with Scala using functional programming technologies in Spark. Scala, Java, Python and SQL. Java/ Scala Developer. Job Title : Scala Developer. Expertise in Compliance, Fin Crime/Risk solutions, AML, KYC.
$80,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Extensive experience in Spark leveraging Java, Python, Scala. Extensive experience in Spark leveraging Java, Python, Scala. Experience developing Kafka producers and consumers using Java as well as using the Confluent Schema Registry.
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Partner and work with team on clustered/distributed computing systems, such as-Cassandra (Preferred), HBase, Hadoop/MapReduce, Spark/SparkR, Lucene/Elasticsearch, Storm, Graph Databases etc. Develop application in programming languages like Java, Scala, Python, Java Script, and have exposure to various application frameworks like React, Spring etc.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Must have 6 months of experience in any two of the following next gen tools and technologies: Hadoop, HIVE, Impala, Apache Drill, Pentaho, Paxata, Databricks, Tamr, Datastax, Datameer, Splunk, Sumologic, Mapreduce, Python, Scala, R, Spark, Kafka, Dremio, AWS, Azure Platform, Google Cloud Platform, Cloudera, Hortonworks, Oozie, NoSQL, HBase, Elasticsearch, Cassandra, Flink, Flume, Snowflake, Redshift, EMR, Neo4j.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Familiar with one or more big data frameworks such as Flink, Hadoop, Beam, Spark, etc. proficiency in at least one of the following large scale server programming languages: Java/Go/Scala/NodeJS.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow) You are fluent in one of the high-level programming languages like Java, Scala, Kotlin or Python.
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Must have last 6 years experience working with CASSANDRA, Hadoop, MongoDB, Apache Spark, HDFS, YARN, MapReduce, PIG&HIVE, Flume & Scoop, and Zookeeper. Must have 5+ years programming in Scala, Java, Python or GO.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Scala, Python, and Spark, along with SQL scripting, is essential. Minimum of 4 years of experience in developing data-centric applications using Scala or Python running on EMR or AWS Glue.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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5+ years of Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs) - 3+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map.
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O Experience in Big data - Hadoop , exp in SCALA, Spark. Fulltime role : Snowflake Data Architect. o Hands on in Snowflake(warehouse construct, performance optimization , Medallion construct.
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Demonstrating experience in using Spark or Azure Databricks Platform, Databricks Delta Lake; Performing development, data analytics and programming/scripting, especially C#, Java, Scala, C.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Experience in Big data ecosystem using Hadoop, Spark, Scala, Python packages and libraries for large scale data is preferred. Experience in Big data ecosystem using Hadoop, Spark, Scala, Python packages and libraries for large scale data is preferred.
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Advanced Proficiency in Scala, Spark and SQL. Proactively drive the execution of our core data engineering, business intelligence, and data warehouse frameworks. Experience designing and implementing cloud based and SaaS data warehouse (e.g. WS, Hadoop, NoSQL) and developing ETL/ELT pipelines.
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In addition to having worked with big data technologies such as Hadoop, Spark, and Impala, the ideal candidate will be experienced in Python, Java, and/or Scala. My client is a data-driven software company looking for a senior big data engineer to join their fast growing team.
Full-timeExpandApply NowActive JobUpdated 9 days ago
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