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Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Experience in Big Data technologies including Spark, Scala and Kafka. Job Title: Big data Developer.
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4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 2+ years of experience in cloud technologies: Azure(big plus), AWS, OpenStack, etc. Minimum of 6 year experience with databases and data modeling / design (SQL & NoSQL) And.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Hands-on experience with big data services (Hadoop, HDFS, Hive, Yarn, HBase, Kafka, Zookeeper). Experience with cloud/container environments, big data, analytical tools (Tableau, Alteryx.
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Knowledge of any of the technologies like Big Data / Distributed computing like Spark, Kafka, Terraform, Kubernetes, AWS. Background with Machine Learning Frameworks and Big Data technologies such as Hadoop, Hive.
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Experience in high performance data architecture and design including Star Schemas, Snowflake Schemas, and Dimensional Modeling. We were included in the top 10 of Selling Power magazine's "Best Companies to Sell For" list and recognized on Forbes magazine's "Platinum 400 - Best Big Companies" list.
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Whether it's selling the world's-best big iron, rolling up your sleeves and servicing our industry-leading construction and material handling product brands or being a difference maker behind the scenes, we can use your skillset.
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Emerging knowledge of software applications and technical processes within any technical discipline such as cloud, artificial intelligence, machine learning, Data analytics. Ingests data from multiple sources.
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Experience working with big data (engineering / processing) and data migration. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
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The Data Engineer will be responsible for data ingestion, data validation, code development on various big data technologies, data analysis troubleshooting and user interactions working in an agile team.
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Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous. Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
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Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Informatica (or equivalent) tools: PowerCenter, BDM, Big Data Manager, Data Quality. Experience in big-data technologies, such as: Hive, Impala, Kudu. This team transforms data assets into business insights by delivering information for consumption thru the building of data pipelines that contain Data processing, Data Enrichment, Data Storage, Data Provisioning/Consumption, Data Archival, Data Quality, Data Lineage, Data Security, and other related capabilities.
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Exposure or experience in any of these technologies is a big plus: Data Analytics, Robotic Process Animation (RPA), Low-Code, Messaging (Chat, SMS, email), Artificial Intelligence, Machine Learning, and AR/VR.
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big data jobs in Wilmington, DE
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