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The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are a Python/Django shop with React front ends, Databricks as our data platform, Tableau as a BI tool, and AWS as our infrastructure. Projects range from data integrations with enterprise systems (e.g. Netsuite, HRIS) to building big data solutions to host predictive modeling.
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The Squires Group has an opening for a CLEARED Mid-Level Data Engineer to work a HYBRID schedule out of our client site in Columbia, MD. The ideal candidate has worked with big data systems, complex structured and unstructured data sets, and has supported government data acquisition, analysis, and/or sharing efforts in the past.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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We are a top IT solutions provider searching for a dynamic individual who is proficient in AWS and software development and has a solid background in creating solutions using Big Data, Artificial Intelligence, and Machine Learning.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Shall have experience diagnosing and troubleshooting large scale cloud computing systems including familiarity with distributed systems for storage and retrieval of data e.g. Hadoop, CASSANDRA, SCALITY, SWIFT, Gluster, Lustre, GPFS, Amazon S3, or another other comparable technology for big data management or High performance computing.
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Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Knowledge of AWS services (EC2, S3, Lambda) and their application to deployment and management of infrastructure. Support development and deployment of infrastructure in AWS. Manage and maintain cloud infrastructure on AWS.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Requirements and Qualifications:Experience in Big Data, Data Lakes, and Cloud technologiesExperience with AWS Computing on the EMR sideAdvanced understanding of applications/development, quality assurance and integration methodologies, concepts and facilities in a mainframe, midrange, and/or PC/LAN environment.
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Knowledge in Linux systems administration and a background in Big Data solutions, configuration management, automation, scripting, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficient in configuration management tools such as Ansible or Puppet. Ability to develop in multiple programming languages such as bash, Python, or Go. 5+ years of experience in DevOps Engineering or Software Development (Java preferred) and Bachelors in related field; or 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience.
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Required Technologies: Big Data technologies, Cloud-based technologies (AWS EMR, State Machines, Step Functions, CDK, Glue, TypeScript, CloudWatch, S3, Glacier Archival Storage, Spark Scala Python.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Must be able to work a hybrid schedule and a rotational on-call/pager duty up to 25% We are seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team. Experience with containers and Kubernetes are a plus.
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In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms.
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Praxis University: Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and hands-on training.
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