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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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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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Load from disparate data sets by leveraging various big data technology, including AWS EMR, S3, Hadoop, hive and pyspark. Bachelor’s degree in Computer Science, Electronic Engineering, Electrical Engineering, Information Systems Technology, or a related field and 5 years of progressive, post baccalaureate experience as Engineer III, Data Engineering or related occupation in the Big Data software development engineering.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Strong knowledge of one or more of the data mining/big data analytical tools (e.g. Microsoft Excel: Pivot Tables SQL, SAS, Python, R) + Perform risk management across multiple Information Security (IS) and Information Technology (IT) domains, including but not limited to Cloud Security, Network and End Point Security, Identity and Access Management, Data Protection, Application Security, Cyber Intelligence and Incident response, Threat Hunting, Vulnerability Management, Asset Management, Security and IT operations.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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Databricks experience is a big plusPython experience is a big plusFamiliarity with Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools.
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This is a full-time position at Jersey City, NJ, working with the Supermicro Global Service Team. Supermicro is seeking a Service Engineer that will be responsible for field work at customer sites to resolve and repair server systems.
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Experience with big data processing frameworks like Apache Hadoop, Apache Spark, Apache Flink, or similar. Proven experience as a big data engineer or a similar role, with a deep understanding of big data technologies, frameworks, and best practices.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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Understanding big data ecosystems, relational, NOSQL and graph databases, unstructured and semi-structured data. As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
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big data jobs Title: hadoop consultant in New York
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