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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. Development skills around Hadoop, Spark, PySpark, Hive.
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Design, develop, and maintain high volume Java and Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Data Engineer 4 will design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem; You will be given the opportunity to own the design and implementation; You will collaborate with Product managers, Data Scientists, Engineering folks to accomplish your tasks.
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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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6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, Glue and Athena)Experience with other AWS components like Cloudwatch, EKS, KMS, Lambdas, S3 is a strong plusExperience with downstream consumption patterns (reports, dashboards) is a plusExperience in Hadoop, HDFS, Hive, Presto, REST/SOAP API, Spark2, Airflow is a plusWe recognize not everyone will have all of these requirements.
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Hands-on experience on major components of the Hadoop ecosystem such as Spark, HDFS, Hive, Sqoop, Kafka, and Streaming is a must. Must have in-depth and strong technical knowledge on Hive, Spark, Kafka, Streaming, SQL, Hadoop platform, and Python.
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Familiarity with the Hadoop ecosystem and related tooling (Spark, HDFS, Databricks). Experience with online game service APIs, particularly Xbox Live, Sony NP, Steam, and Epic Games. Familiarity with the Hadoop ecosystem and related tooling (Spark, HDFS, Databricks.
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Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL) and Hadoop ecosystem. Ability to design cloud and on Prem data solutions and provide guidance across storage, big data platform services, Hadoop ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Expert knowledge and experience in Databricks, Lake House, Structured Streaming, Kafka, Delta Lake, Delta Live table, Delta shareetc. Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream.
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Design, Develop, Modernize/Migrate pipelines to Databricks. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. Big Data Engineer. Were looking to expand our Big Data Engineering team to keep pace.
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Programming skills in Java/Scala, Python, Shell scripting, and SQL. You will be working on projects that build data artifacts to answer questions about consumer behavior, commerce trends, consumer touchpoint preferences and more.
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Experience in Business Rule management systems like Drools will also come in handy. Beaverton OR – Remote for some time - candidate open to relocating to be onsite in the future. 5+ years’ experience in large-scale software development/Big Data technologies.
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Take part in DevOps by building utilities, user defined functions and frameworks to better enable data flow patterns. Client is embracing Big Data technologies to enable data-driven decisions. MS/BS degree in a computer science or related discipline.
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Experienced with wide range of hardware and software development environments, including Microsoft, JAVA, J2EE, SOA, WS - (SOAP/REST/MICSROSERVICES), HADOOP ecosystem, Linux, RDBMS, NOSQL, ECOMMERCE, MOBILE, AWS, Docker (Swarm, Kubernetes), Elastic Search, MongoDB, Redis master/slave/sentinel, CI/CD pipeline using Jenkins, ansible, rundeck, Jfrog artifactory.
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