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Compute Infrastructure Design: Architect scalable, secure, and resilient compute solutions leveraging technologies such as Apache Flink for real-time data processing, Apache Trino for analytics, and Apache Spark for batch processing.
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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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7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake. Prior technical experience in Big Data solutions - you've built meaningful pieces of data infrastructure.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. Experience with Operational Technology equipment and related software, such as Honeywell Connected Plant, Emerson Plantweb/AMS, GE/Meridum APM, Aveva, Bentley, and OSIsoft PI.
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Proven experience (typically 3-5 years) in quantitative development, algorithmic trading, financial engineering, or software development roles within financial institutions, hedge funds, or trading firms.
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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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Traffic engineering modeling software (Synchro, HCS, Vissim, Visual, AGI32) Perform traffic engineering design including signing and pavement marking, signals, lighting, maintenance of traffic, detours and traffic control and intelligent transportation systems (ITS.
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High proficiency in AutoCAD, Civil 3D software, Leica LGO/Infinity, Leica robotic total stations, GPS, and data collectors. Bachelor’s Degree – Civil Engineering, Land Surveying or related field from an accredited program.
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Spearheaded by co-founder, Jenny Just, we’ve taken our passion for technology and created a software development experience designed to introduce women+ to the FinTech industry. Past examples: framework for notifying users of app updates, data quality dashboard, crypto data ingestion, execution algorithm exploration tool, stock research feed from Slack, and many more.
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Research and Data Management Contributes in the implementation and documentation of graphics, image processing and visualization software using associated software packages/libraries such as VTK, ITK, QT. Acquire additional software application knowledge, as needed, to support the work of Morfeus Lab and Image Guided Cancer Therapy Research Program.
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It's time to utilize your skills in software and data engineering to drive scientific and technological life-changing solutions within the pharmaceutical industry. Experience with modern data engineering tools such as Talend, DBT, Databricks, Snowflake and data visualization tools such as PowerBI, Tableau, ThoughtSpot.
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Competent software development skills in a modern object-oriented programming language (Java and/or Python preferably) and the ability to learn new languages and technologies quickly. Work with a variety of languages–Java, Python, Go, and JavaScript–as well as technologies such as Microsoft SQL Server, PostgreSQL, Redis, MongoDB, Airflow, Kafka, Kubernetes, and Docker.
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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects. We need a big data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
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