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Familiarity with SVOD and AVOD datasets - Familiar with various data transfer methods/protocols including but not limited to APIs, feeds, S3, S/FTP, Google Cloud Storage, querying data out of data warehouses, Snowflake etc.
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As the hands-on Enterprise Data Warehouse Manager for Party City, you will hold a dual role, leading the EDW team while actively participating in the design and development of the enterprise data warehouse architecture for the entire Snowflake environment.
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Data Warehouse Operations Manager sought by DISH Network, LLC in Englewood, CO. Develop and maintain code for data ingestion and curation using Databricks. Apply best practices of data integration for data quality and automation.
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Reporting to the Data Analytics Director, FCC Analytics, the Data Analytics Manager will independently perform detailed analytics work to support the Compliance Analytics group’s goals and objectives.
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The People Analytics Manager provides critical data interpretation and insights to support HR strategy needs. The People Analytics Manager is responsible for the transformation of the HR reporting, metrics, governance, analytics, and data integrity efforts, leveraging various data analytics platforms to present data accurately and intuitively.
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The Senior Manager, HR Analytics & Insights will play a pivotal role in shaping our human resources strategies through data analysis, interpretation, and insights generation. Proficiency in statistical analysis, data mining, predictive modeling, and data visualization tools (e.g., R, Python, SQL, Tableau, Power BI.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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The Data Center Construction Project Engineer plays a critical role in overseeing the planning, design, and construction of data center facilities for our client. The Data Center Construction Project Engineer plays a pivotal role in ensuring the successful delivery of data center projects, from inception to completion, by effectively managing resources, mitigating risks, and maintaining high-quality standards throughout the construction process.
$115,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working on MEP Aspects of new Data Center Construction. Minimum 5 years of data center construction experience. 5+ years of Data Center Construction experience. The company currently work all over the US but their most urgent needs are located in - South California - Nevada - Portland Oregon where their projects have already broken ground and are valued over $1B, followed by a range of different data center and mission critical projects located across the West Coast.
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Experience in analyzing and processing different types of data used in the pharmaceutical industry including data from internal systems like call activity and speaker programs, as well as syndicated data from third party vendors such as IQVIA, Symphony Health, patient level data, Affiliations, and specialty pharmacy data across retail and non-retail business channels.
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As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data EngineeringDo you love building and pioneering in the technology space.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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4+ year experience working on real-time data and streaming applications. At least 2 years of experience in big data technologies. We are seeking Data Engineers who are passionate about marrying data with emerging technologies.
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Team Description: The Card Data Organization team works on the foundational capabilities of how data should be produced and consumed. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 9+ years of experience in application development including Python, SQL, Scala, or Java.
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data job Title: manager
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