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Hadoop, Spark, and Kafka. 1+ years of experience with HL7 messaging on Mirth or Rhapsody is a plus. Experience working with cloud platforms, such as GCP, Azure, Databricks, etc. These efforts are integrated over various systems and may include: free standing reporting systems, cloud based data, on GCP systems to include Enterprise Data Stores and Looker Studio Services.
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Distributed computing frameworks (Spark, Hadoop, Google Cloud Dataflow) Asynchronous data processing and stream processing (Kafka, Amazon Kinesis) Distributed data stores (DynamoDB, Cassandra, MongoDB) and distributed data warehouses (Redshift, BigQuery.
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Ability to investigate/research issues, determines impact, and provide solutionsStrong knowledge, implementation skills, and experience with security processes involving Java-Hadoop communication, Spark Streaming, and Kafka.
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Experience with data engineering and analytics leveraging Hadoop, Accumulo, Kafka and dashboard development with Tableau. 10+ years of experience managing and leading efforts with DevSecOps tools, including Jenkins, Gitlab, ElasticSearch, Kibana, Prometheus, Grafana, or Logstash, infrastructure as code (IaC) and configuration management tools, such as Terraform or CloudFormation or Ansible, containerization tools and technologies using Docker Enterprise, Kubernetes, or OpenShift.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Knowledge and experience with analytics tools and platforms including Apache Spark, Hive, Presto, HBase, Kafka, MongoDB etc. Hands-on with “Big Data” technologies with the Hadoop stack (e.g. Spark,MapReduce, Hive, Streaming) and practical experience that allows you distinguish between the implementation reality and the hype.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Implementation of Big Data solutions: using open source and non-SQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala software development or PySpark. Advanced Analytics: Design and build solutions using technologies such as Azure Data Factory, Azure Data Lake Store, Azure HD Insights (Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters) and Azure Synapse.
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Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) Experience with Spark/Storm/Kafka or equivalent streaming/batch processing and event based messaging.
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Experience in API Gateways, Apache Kafka, Cassandra or other NoSQL DB, exposure to any cloud, splunk / kibana, AppDynamics / Dynatrace is preferred. Java/Python developer on Hadoop/Spark/Big Data platform with AWS experience preferably on EMR, EKS, Glue, Lake Formation.
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4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 7+ years of experience in application development including Python, SQL, Scala, or Java.
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data infrastructures and pipelines.
$2 - $11Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Deep knowledge and hands-on experience with big data platform technologies, such as Apache Hadoop, Spark, and Kafka. AWS Certified Solutions Architect, GCP, and/or Azure Solutions Architect.
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2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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5+ year support experience of Big Data technologies in Hadoop ecosystem - Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. Implementation experience for Hadoop distribution platforms like Cloudera or AWS EMR.
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Google Cloud Platform (Data Proc, BigQuery) Data storage and analysis toolsets, including modern distributed technologies such as SparkSQL, Hadoop, Presto, Hive, Kafka, Cassandra, Redshift or other equivalent solutions.
ExpandApply NowActive JobUpdated 8 days ago
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