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We seek a seasoned Oracle Data Warehouse Architect with expertise in Oracle Cloud Infrastructure (OCI) and a specialization in Autonomous Data Warehouse (ADW). Proven experience as an Oracle Data Warehouse Architect focusing on OCI and Autonomous Data Warehouse.
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Au minimum 10 ans d'expérience dans la conception et la mise en œuvre d'une solution de données à grande échelle en production opérationnelle sur Microsoft Azure Snowflake Data Warehouse.
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Snowflake Management: Manage Snowflake data warehouse environments, including provisioning, configuration, optimization, and monitoring. Develop ETL processes to extract, transform, and load data from various sources into the data warehouse.
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Sports Warehouse is comprised of: Tennis Warehouse Running Warehouse Tackle Warehouse Total Pickleball Racquetball Warehouse Riding Warehouse Inline/Ice Warehouse Skate Warehouse.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) Strong SQL and data modeling skills, with experience applying skills to thoughtfully create data models in a warehouse environment.
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Familiarity with all, and expert in some of the below: Databricks or Spark, MPP databases, ETL, data warehouse design, feature store design, monitoring tools. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and strengthen our digital, AI capabilities, we are seeking a Principal Scientist for Data Platform Optimization.
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We are looking for reliable and personable individuals to help us build lasting relationships with our Tennis Warehouse customers and support them through their purchasing journey. Demonstrate a sense of pride in your work and represent Tennis Warehouse in a positive manner.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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In this role, you will be responsible for designing, implementing, and maintaining a robust Data Warehouse on the Google Cloud Platform (GCP) with a primary focus on Google BigQuery. LevelTen Energy is seeking an experienced Data Warehouse Engineer to join our dynamic team.
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The Senior Data Engineer will be the product owner and subject matter expert related to Whiskers Enterprise Data Warehouse and Business Intelligence platform. Provides input and feedback to support continuous improvement in the evolution of the data warehouse.
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5+ years experience performing data warehouse architecture development and management across one or more data warehouse solutions including BigQuery, Synapse, Teradata, Vertica, or Snowflake.
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Proficient working experience in data collection (e.g., API, web scraping), data processing, data modeling, data integration (e.g., end-to-end ETL pipelines), and database / data warehouse management (e.g., with Databricks / Snowflake.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R.
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Managing the Data Pipelines maintained in Azure Synapse, Databricks to ensure the data set is properly ingested into the data warehouse. The Power BI Developer is responsible for developing data pipelines and reports that connect multiple API's to provide insightful, actionable data.
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data warehouse jobs Title: scientist Company: Change Healthcare
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