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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (Google Cloud Platform preferred, AWS, Azure etc.) Big Data Engineer.
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We’re looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Division’s (OHD) big data and analytics platform.
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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The developed tools will ultimately be integrated with TRMC s highly visible data analytic project supporting multiple DoD ranges called CHEETAS. The successful candidate will work with data science, data engineer, and software development teams to support our customers by demonstrating to DoD range stakeholders the art of the possible with CHEETAS and other standard commercial Big Data tools.
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The client Corporation is currently seeking an experienced Big Data Engineer Thesuccessful candidate must have Big Data engineering experience and must demonstrate an affinity forworking with others to create successful solutions.
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Stay up-to-date with industry trends and best practices related to Spark, big data technologies, Python, and AWS services. Proven experience (10+ years) as a Spark Developer or in a similar role working with big data technologies.
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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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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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The Big Data Engineer will be responsible for interpreting the requirements of various Big Data Analytic Use Cases and Scenarios, and driving the design and implementation of specific data models to ultimately help drive better business decisions through insights from a combination of external and AT&Ts data assets.
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5 yrs Experience implementing Big Data storage and analytics platforms such as Databricks and Data Lakes. This is 100 % onsite role Candidate must have Big Data, and Databricks experience.
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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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Complete Description: 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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Proven experience (10+ years) as a Spark Developer and Scala development with big data technologies. Position : Big Data - Scala Spark Developer. you will play a key role in designing, developing, and optimizing data processing pipelines using Apache Spark.
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Nous participons à la révolution digitale grâce à notre expertise en automatisation des processus, Big Data, IA, Cloud. Diplômé(e) d'une Ecole d'ingénieur ou formation équivalente, vous avez déjà participé à un projet Data (Big Data, BI) et vous avez une expérience de minimum 2 ans.
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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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big data jobs Title: data project manager Company: Oracle
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