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Data Warehousing: Familiarity with data warehousing concepts and technologies, like Azure Synapse, Amazon Redshift, Google BigQuery, or Snowflake. Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL Data Warehouse) and related services.
$190,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with Cloudera ECS and Cloudera Data Services such as Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning. Optimize Cloudera Data Services for data engineering, data warehousing, and machine learning in collaboration with the respective teams.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Hands-on experience with leading data warehousing and analytics technologies (e.g., Databricks, Snowflake, AWS Redshift, Google BigQuery). WHAT THIS ROLE WILL DO Solution Design: Develop comprehensive data warehouse and platform architecture blueprints, encompassing data modeling, ETL processes, data integration, storage, and data governance.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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To support ERP & Application Manager in implementing and maintaining an integrated ERP, MES, LIMS, EPIMS, CMMM, CRM, LMS, other satellite systems, data warehousing integrating relevant data from all the systems to provide business reporting to the business users.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As the Business Intelligence Analyst, you will maintain the Business Intelligence (BI) initiatives and support data warehousing initiatives in collaboration with the Data Operations Engineer and Directorof Analytics.
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Design, develop, and implement robust and scalable data solutions using Azure technologies, including Azure Data Factory, Azure SQL Data Warehouse, Azure Databricks, and/or Azure Synapse Analytics.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience in cloud-based data platform capabilities including Data Warehousing, Data Visualization and Data Management (e.g., BigQuery, Redshift, Tableau, Looker, SAP Lumira and more.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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A minimum of 2 years’ experience as a Data Engineer, with a focus on SQL, Data Warehousing on Snowflake and Oracle, Other RDBMS, and Python technologies is necessary. ELT/ETL Development and Performance Optimization Create efficient ELT processes to extract, load, and transform data from various sources into Snowflake data warehouse.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You have a strong background in distributed data warehousing with AWS Redshift (Snowflake, Big Query, and/or Azure Data Warehouse). You will be a key voice to leverage your subject matter expertise in modernizing organizations from legacy disparate data warehouse environments (Informatica and Hadoop) to modern distributed data environments (AWS Redshift or Snowflake.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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7+ years of hands-on Microsoft Power BI, Azure Synapse, and Data Factory, Data Warehouse, ETL, SQL Server, Informatica and BI development. Lead the development and implementation of business intelligence solutions using Power BI, Azure Synapse, Data Factory, and Data Warehousing.
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Experience: 10+ years of IT experience with minimum of 5+ years of hands-on Project Management experience with at least 3 years in Data warehouse, big data (Cloudera or AWS, etc), Business Intelligence (MicroStrategy or Tableau or Cognos or Business Objects, etc), or Analytics projects.
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Support Aon’s national data warehouse team: Work with Aon clients, national Commercial Analytics team members, client team members, and Aon’s data warehouse vendor partners to support clients’ investments in data warehousing including supporting client implementations, data quality assurance, analytic content creation, ad hoc requests, and user support.
$118,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with a cloud-based Data Warehouse environment such as Snowflake, Redshift, etc. Extensive experience with ETL/ELT design and development in a Data Warehousing environment,using enterprise class tools like dbt, Informatica, Matillion, and others.
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Experience with relational and non-relational databases (e.g., PostgreSQL, MySQL, Snowflake, MongoDB) and data warehousing concepts. Experience in data engineering pipelines and building data warehouse systems with ability to understand ETL principles and write complex SQL queries to extract data and build performant datasets.
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Proficient in Data Warehouse technologies (e.g. Snowflake, AWS Redshift, etc) and in AWS data pipelines (Lambda, AWS glue, Step functions, Airflow etc) In-depth expertise in designing data warehousing technologies on snowflake , Data services , enabling event driven architecture, scalable pipelines and experience in migrating from legacy platforms is a plus.
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