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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
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Knowledge in big-data technologies (Hadoop, Apache Spark, Databricks) You'll work closely with the customer and stakeholders to optimize business processes through data engineering and machine learning techniques and help integrate the developed models into a form useful to the organization.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Experience with big data infrastructure to include Hadoop, Accumulo, Elasticsearch, MongoDB and Cloudera EDH. Maintaining, troubleshooting, and configuring big data environments based on many open source and commercial products.
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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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3+ years’ experience in designing and implementing Big Data applications (data ingestion, real-time data processing and batch analytics) in Big Data, Spark Streaming, Kafka, Hadoop, Map Reduce, Hive.
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DD works across a range of topics, including broadband connectivity, access, and use; digital public infrastructure (DPI); data governance and protection; cybersecurity; AI and big data; data hosting and cloud computing; and digital and climate.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum list of certifications goes on and on.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
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As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. Work with us to use big data for good. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Familiarity with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, or Snowflake. Experience with Big Data technologies such as HBase, Hive, Spark, Graph DB and Cassandra.
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Data backup and recovery solutions (Datto, Code42, AWS Glacier, etc) Apple MDM (Jamf, Addigy) experience is a big plus. This includes but is not limited to advanced troubleshooting of server, desktop, and network issues as well as assisting in hardware/software upgrade rollouts, new infrastructure builds, assisting business continuity services, and some project management.
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Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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Creates business requirements, data flow diagrams, test data, test scenarios and design documents for the new reports. I. SUMMARY:DC Water is seeking a contract or contract-to-hire IT professional to assist with Power BI and SQL Server reports execution, data validation and performance improvement.
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big data jobs Title: business analyst Company: Citi in Washington, DC
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