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Basic understanding of distributed computing and big data technologies such as Apache Hadoop, Spark, or Kafka. Familiarity with DevOps scripting languages (Gitlab CI/CD) AWS Cloud Practitioner or AWS Associate Level Certification Streaming data experience: Kafka, Firehose, Kinesis, etc ElasticSearch or OpenSearch integration.
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka. Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
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The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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Cyber Security, Data Analytics, Big Data, Cloud Computing, Signal Processing, IT Modernization, Software Engineering, DevSecOps, and System Engineering. Job Description To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging.
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Experience with AWS cloud native services for big data storage and processing. Ability to work in a big data environment. Experience with RDBMS data stores, including Oracle or MySQL.
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Technical Skills: Skill Years/Level of Experience Google Looker Data Platform P3 - Advanced Big Data Analytics P3 - Advanced Google Cloud Platform P3 - Advanced Google BigQuery P3 - Advanced.
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. Presenting complex analysis results tailored to different audiences (e.g. technical, manager, executive) in a highly consumable and actionable form including the use of data visualizations.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Experience with container deployment platforms such as Kubernetes, Openshift, or GCEExperience and domain knowledge related to data processing Experience with big data applications.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$128,900 - $195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Terraform, Docker and Kubernetes, and a variety of Azure tools and services to build an Event Driven Big Data Streaming platform for an ELT data pipeline.
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big data jobs Title: data project manager Company: Oracle in Bethesda, MD
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