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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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Certification in big data technologies or cloud data services. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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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 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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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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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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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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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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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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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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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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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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Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
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Demonstrated understanding of data migration tools like Data Loader and ETL tools. Build large and complex data pipelines, integrate data coming from diverse sources in different formats and map data to specified Salesforce fields and maintain dynamic data integration solutions in cloud-based and hybrid environments.
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Teaching Assistant (TA) for the BIG Lab Makerspace. The BIG Lab TA will learn with and assist the makerspace lead teacher, support student and teacher projects, and keep the lab running at 100% efficiency.
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big data jobs Title: data manager Company: Oracle in Arlington, VA
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