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Java and Python)Hands-on experience with SQL database designGreat numerical and analytical skillsDegree in Computer Science, IT, or similar field; a Master’s is a plusData engineering certification ( IBM Certified Data Engineer) is a plusExperience with big data tools: Hadoop, Spark, Kafka, etc.
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3 plus years of experience in building use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and On- premise environmentsExpertise with SQL, noSQL, Python, R, Javascript programming languages and big data environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Hands-on experience working with Hadoop, Hive, Pig, Map Reduce, Spark, Rabbit MQ, Kafka, Flume. The ideal candidate is a hands-on platform builder with significant experience in developing scalable data platforms, with experience in business intelligence, analytics, data science and data products.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands-on experience with data formats including XML, PCAP, images, and media. Hands-on development experience and facility with Python, C#, and Java. This engineer will assume wide-ranging projects regarding ETL, migration of processes and services from on-premises to cloud environments, Artificial Intelligence/Machine Learning (AI/ML), machine translation, and similar efforts.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Bachelor's Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Hands-on Experience with big data technologies such as Hadoop, Kafka, Hive and HBase. 7+ years in maintaining a real-time data processing solution build on Scala, Spark and Akka framework.
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They must have strong, firsthand technical expertise in a variety of configuration management and big data technologies and the proven ability to fashion robust scalable solutions that can manage large data sets.
$195,374.41 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop. Knowledge and experience across data management domains, including data science, data governance, metadata management, data quality, business intelligence, data security & privacy, and data strategy.
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Strong hands-on experience with big data tools and platforms (e.g., Hadoop, Spark, Kafka, NoSQL databases, etc. Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field; a Master’s degree is a plus.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Expert knowledge and hands-on experience in Hadoop ecosystem components; including HDFS, Yarn, Hive, LLAP, Druid, Impala, Spark, Kafka, HBase, Cloudera Work Bench, etc. Hands on experience with Hadoop administration in Linux and virtual environments.
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Hands-on experience with Big Data technologies like Hadoop, Spark; and experience working with query engines like Presto, BigQuery or other open source big data query & ETL engines.
$296,477 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr.
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Experience with AWS; Kubernetes / Docker; Jenkins; Hadoop/Spark; Kibana; Kafka; NiFi; ElasticSearch; NoSQL / MongoDB / document-oriented DB; AI/ML understanding. Join Accenture Federal Services to do the work you love in an inclusive, collaborative, and caring community, where you can be empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
$214,300 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Minimum 5 plus years of hands-on technical experience implementing Big Data solutions utilizing Hadoop or other Data Science and Analytics platforms. Minimum 5 plus years of hands-on technical experience in developing solutions utilizing at least two of the following: -Kafka based streaming services -R Studio -Cassandra , MongoDB -MapReduce, Pig, Hive -Scala, Spark -knowledge on Jenkins, Chef, Puppet.
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