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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development.
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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.
$73,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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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.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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Senior Java/Big Data Developer – FX Trading. Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
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4+ years of professional experience as a data scientist in the SaaS industryWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with Databricks.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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3 or more years of relevant technical experience in AWS + Big Data (Cloudera) technologiesDesign, develop, and maintain end to end data solutions using open source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, AWS Cloud, etc.
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5+ years in designing, solutioning the Snowflake, Databricks and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
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big data jobs Title: engineer Company: Hsbc
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