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Master's in Computer Science/Applications, Information Technology/Systems or Electronics/Electrical Engineering + minimum 1 year experience as Big Data Engineer, Data Engineer, Data Engineering Specialist, Data Warehousing Analyst or related occupation.
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5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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QTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II ( Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Job Description Posting Title: Professor - Data Science - Tenured Department: Proteomics Salary: Open Posting Summary: Rutgers, The State University of New Jersey (New Brunswick, NJ, USA) invites applications for a distinguished data scientist, focused on three-dimensional (3D) structures of biological macromolecules, to be appointed at the level of tenured Professor or above.
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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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Integrate AWS services (e.g., S3, Redshift, EMR) with Databricks to build and optimize data pipelines for ETL, data processing, and real-time analytics. Architect and manage comprehensive data solutions on AWS, using Databricks for data engineering, machine learning, and advanced analytics.
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Assess the suitability of database management systems, data integration tools, data warehouses, big data platforms, and analytics solutions based on specific use cases and business needs.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Senior R programmer with RWD experience and required experience in CMS data (Medicaid, Medicare, etc). As a Senior Programmer/Analyst, Real-World Data and Analytics, you will conduct hands-on programming (expert level for R, proficiency with SAS is also desired) in supporting our real-world data & analytics needs under the supervision of our Director HEOR analytics scientists.
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We are seeking a dynamic and senior people manager who has a passion for data and the new data technology platforms that enable warehouses, analytics, and AI/ML insights. At least 3 years of experience in cloud data warehouse platforms such as AWS Redshift, Azure Synapse, or Google BigQuery.
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Are big box retailers not limited to: Walmart, Target, JCP, Kohl’s, Dicks Sporting Goods, luxury retailers and Dept Stores like Nordstrom, Lord & Taylor, Saks, Macy. Off price & Close Out customers like TJX, Burlington, Online retailers include Amazon.com, and other retailer channels.
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2+ years of Experience with AWS Cloud on data integration with Apache Spark, EMR, Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS, MongoDB/DynamoDB ecosystems. Innovate for data integration in Apache Spark-based Platform to ensure the technology solutions leverage cutting edge integration capabilities.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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BIG Data: Experience with distributed systems (Spark, Hadoop) is a plus. - Master Data Management: Informatica MDM. - Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL.
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Proficiency in Databricks, Spark, and related big data technologies. Proven experience as Data Engineer, or similar role, with a focus on Databricks. Design and engineer scalable, robust, and efficient data solutions using Databricks.
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big data jobs Title: senior developer Company: Verizon in Piscataway, NJ
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