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Experience in data architecture, data warehousing including non-relational and relational databases (e.g., SQL, MySQL, Hadoop, MongoDB), big data (Hadoop, MapReduce, Cloudera, HDFS, Hive, PIG, Impala.
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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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Role: Linux Engineer. 5 years of Experience in Unix/Linux infra support, handling linux server issues, troubleshooting the job failures in linux environment. OS: Linux Administration.
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5+ years of experience running a majority of the following database technologies: Postgres, Neo4j, Snowflake, Redshift, Hadoop, ElasticSearch, DynamoDB. OS/Misc Apps: Linux (mostly Amazon Linux), Alpine Linux, Tomcat, Nginx, ElasticSearch, Docker, Maven.
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Architect L3 Linux terraform Kubernetes Jenkins configuration management. Complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
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Good knowledge of software, computers, operating systems (UNIX, Linux, Microsoft), VHF and UHF radio voice and Digital Data Radio communications, information assurance, data security, and networking management technologies.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Industry relevant certifications such as:CompTIA, Network+, Cisco/CCNA, Linux. Keywords:Chicago IL Jobs, Technical Support Specialist, VPN, MFA, Multi-factor Authentication, CompTIA Certification, Network+ Certification, Cisco Certification, CCNA Certification, Linux Certification, PC, MAC, Chicago Recruiters, IT Jobs, Chicago Recruiting.
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Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
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Knowledge of Lambda/Kappa architectures Experience on performance tuning of Hive and Spark jobs Basic experience in data modelling for Hive and NoSQL (partitioning, bucketing, row key design, Experience in debugging/troubleshooting Hadoop and Spark jobs Maven build Deployment of Hadoop/Spark jobs on production.
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Demonstrated work experience with Cloud: Distributed Scalable Big Data Store (NoSQL) such as CloudBase/Accumulo, Big Table; MapReduce and technologies such as Hadoop, Pig, HDFS; Serialization such as JSON or BSON.
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Direct experience working with very large datasets and log analysis tools including but not limited to: Splunk, Python, Pandas, SQL, Hadoop, Hue. Experience consuming and analyzing Cyber Threat Intelligence for actionable takeaways.
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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the firm's data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
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Be comfortable navigating the following technology stack: Scala, Spark, java, Golang, Python3, scripting (Bash/Python), Hadoop, SQL, S3 etc. Good understanding of Hadoop ecosystems. Systems administration skills in Linux.
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