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Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift. Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
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Hands on development experience with: Python, Spark, SQL, Cloud-based ETL tools, Azure Data Factory/Databricks and Snowflake. Keywords : Python, Spark, SQL, ETL, Azure Data Factory/Databricks, Snowflake.
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Data Conversion and Integration Experience: Demonstrated experience with Oracle HCM Cloud data conversions and integration tools, including Oracle Integration Cloud (OIC), BI Publisher, HCM Extracts, HDL (HCM Data Loader), UCM, and managed file transfer (MFT) tools.
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Data Loader Management: Prepare and manage HDL (HCM Data Loader) for data conversions, ensuring accuracy and efficiency in data migration to Oracle HCM Cloud. This includes driving HR technology implementations through technical process designs, solution architecture, data conversion, integrations, report development, process playback, user acceptance testing, cutover, and production launch.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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In addition, the PLM Master Data Steward will partner with Product Innovation as the go-to expert for data-related matters, including managing product lifecycle within Centric. The PLM Master Data Steward is responsible for managing e.l.f.’s data assets and ensuring their quality and usefulness.
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The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Support data governance initiatives by ensuring data quality, metadata management, and data cataloging within the data marketplace. Strong understanding of data management, data governance, and data integration concepts.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Utilize traffic engineering software and tools (e.g., Synchro, VISSIM) to support data analysis and reporting tasks. Analyze traffic data, including traffic counts, flow patterns, and collision data, to support the development of traffic reports and recommendations.
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Experience with data integration, ETL processes, and real-time data streaming. Knowledge of data governance and data privacy regulations. Experience with other Informatica tools and platforms (e.g., Informatica PowerCenter, Informatica Cloud Data Integration) is a plus.
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Need Strong experience with AWS, Python, PySpark, Hadoop Big Data technologies. Minimum of 5 years of hands-on experience in AWS and Big Data technologies such as Java, Node.js, C#, Python, SQL, EC2, S3, Glue, Lambda, Spark/SparkSQL, Hive/MR, Pig, Oozie and streaming technologies such as Kafka, Kinesis, NiFI etc.
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The administrator works closely with data stewards, data engineers, and business users to support data governance and data management initiatives. Minimum of 3-5 years of experience in data management, data governance, or data administration roles.
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Collaborate with IT and data science teams to leverage big data and artificial intelligence in pharmacovigilance. Oversee the collection, evaluation, and reporting of adverse event data from clinical trials and post-marketing sources.
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E.g.: Cisco CCIE Enterprise, Data Center, Security, etc., Palo Alto PCNSE, Fortinet FCX, FCP. As a Principal Architect, you will be responsible for leading and mentoring a team of engineers who together with you will plan, design and implement network infrastructure, data center and next generation security IT solutions for our clients.
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data job Title: hadoop Company: At T in Roseland, NJ
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