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Provide daily and ongoing technical support as required by the user community: Interface between end users and vendor support to resolve technical issues; provide end-user support as required for daily functional activities; track issues and change requests; submit, manage and track escalated issues with vendor technical support; monitor application operations; and maintain data (clear tables, check transaction logs, validate interfaces to other applications (pharmacy, labs, accounting, etc.
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Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper. Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
Full-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience must also include: working with core data platforms: Snowflake, AWS, Azure, Hadoop, Databricks; and. Have the leadership and coding skills (e.g. Python, Java, and Scala) to get solutions into production while ensuring performance, security, scalability, and robust data integration.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Extensive hands-on experience with Snowflake, Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics). Design and implement scalable and high-performance data pipelines using Snowflake, Matillion, DBT, and the Microsoft Data Stack (Azure SQL Database, Azure Data Factory, Azure Synapse Analytics.
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Proven experience as a Databricks ETL Developer or Data Engineer, with a strong understanding of data warehousing concepts and ETL tools. Design, develop, and maintain data pipelines to integrate data from various sources into the Databricks platform.
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Able to work with MS Customers to understand the requirements and convert them to data pipelines and power bi reports to deliver the required. Power BI, Digital: Azure Databricks, Digital: Microsoft Azure, SQL Server 2012 Analysis Services (SSAS), Microsoft SQL Server 2008 Business Intelligence.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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As part of a team of engineers, you will lead and support the creation, development, operation, and maintenance of space vehicle and rocket engine component test facilities, with a focus on data acquisition and control systems.
$191,520 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Familiarity with current engineering principles associated with analysis of power systems, electrical interconnection, battery energy storage systems, microgrid controls, data monitoring/reporting systems.
$153,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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This position is an integral part of the centralized IT Enterprise Architecture Team at Weyerhaeuser that is closely aligned with all the data related initiatives across all lines of business such as Timberlands, Wood Products, Corporate Development (Land, Minerals, and Climate Solutions) and support organizations.
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Expertise in two or more data estate workloads like Microsoft's Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) + Certifications with Azure Data Engineer, Azure AI Engineer or equivalent industry certifications.
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We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function. Support risk and liability management with respect to Sleeper's DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights.
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2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
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Title: data Company: Insight Global in Seattle, WA
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