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Big Data Engineer. 5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera.
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Hands-on experience in Big Data, Cloudera Distribution 7. Strong project experience in Big Data, Cloudera Distribution 7. Big Data Hadoop Engineer. Hands-on experience building data pipelines using Hadoop components Sqoop, Hive, Solr, MR, Impala, Spark, Spark SQL., HBase.
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Hands-on technical experience with big data systems including experience in designing and implementing large distributed systems. The MEGDP serves many use cases including regulatory reporting, analytics, and data science.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Proficiency in data technologies such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Implement monitoring solution(s) for the Big Data platform to monitor health on the infrastructure. Design and implement an integrated Big Data platform and analytics solution.
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Experience with multiple large-scale open source and Enterprise Hadoop, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster setup, security, performance tuning and monitoring.
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Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management. Facilitate the establishment and execution of the roadmap and vision for information delivery and management; including the enterprise data warehouse, big data, BI & analytics, content management and data management.
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Experience in Big Data tools and technologies such as Big Query, Databricks, Snowflake, Spark, Kafka Streams. In-depth understanding of Big Data ecosystems underlying architectures to re-platform legacy systems and build integration solutions on Google Cloud platform.
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland.
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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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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Built with brands capable of reaching more than 100 million viewers in a single weekend, FOX Sports includes the sports television arm of the FOX Network; FS1, FS2, FOX Soccer Plus and FOX Deportes, as well as a joint-venture business in the Big Ten Network and digital properties including and the FOX Sports App. FOX Sports has delivered the most watched television program, NFL’s America’s Game of the Week on FOX, for fourteen consecutive years.
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Build data centric products that will scale well using the following platforms and technologies - Azure SQL, GCP Big Query and Graph technologies (Neo4j), big data solutions like Apache Spark, GCP Data Proc, and in Messaging platforms (Kafka.
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big job Title: big data Company: Rackspace Us
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