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Seeking a senior Level Data Warehouse Specialist with Snowflake experience. Solid experience and understanding of architecting, designing and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse is a must.
Full-timeExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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3+ years of experience of working with DataBricks, SnowFlake, or other data warehouse and data lake products and technologies. We are a multidisciplinary team with expertise in machine learning, data engineering, and software development.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS) and modern data warehouse tools (Snowflake, Databricks) 7+ of relevant experience in design and implementation of data models for enterprise data warehouse / data lake initiatives.
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Experience designing and developing data warehouse solutions with Snowflake or comparable cloud data platforms. Having significant experience in the UCSB data warehouse systems, applies advanced data and information management concepts and campus objectives to resolve highly complex issues where analyses of situations, information or data require an in-depth evaluation of variable factors.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Design and implement ETL processes for data transactions related to Enterprise Data Warehouse, Operational Data Store (ODS), and other data structures to support our Business Intelligence operations.
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Continually improve the operations, monitoring and performance of the data warehouse. 4+ years of professional data engineering experience. Being a domain expert on data modeling, data pipelines, data quality and data warehousing of financial data.
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Experience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services (Snowflake.
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Strong experience in data management, data integration, data warehouse, data virtualization and data quality design patterns and techniques. 8+ years of experience in one or more relational or columnar databases or appliances like Snowflake, DB2, Oracle, MS SQL Server, Netezza, Redshift etc.
Starting at $68 an hourExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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Team Leader: As an Engineering Lead, you will be responsible for guiding a team of data engineers in the development and maintenance of a modern data warehouse using Snowflake and DBT. This includes setting team goals, coordinating tasks, and ensuring that all team members are working effectively towards the common objective.
$135,000 - $313,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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You will be expected to work as part of our team of data warehouse engineers to architect, build, and maintain highly performant data models and data transformation processes in Snowflake to be used for operational reporting, dashboarding, analytics, and data science.
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Keywords: AWS, dbt, SQL, Snowflake, data modeling, data warehouse, Tableau, Python. Setting up and optimizing cloud data warehouse and database assets (schemas, access control, compute clusters, scaling policies) for optimal cost-performance tradeoffs based on business needs.
$208,000 - $282,000 a yearFull-timeExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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Some experiences in Snowflake database administration Job involves, profiling, creating, advising and reviewing data models for our data warehouse atomic as well as data mart areas.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Good to have knowledge of data warehouse concepts – dimensions, facts, schemas- snowflake, star etc. Engineering responsibilities of the cloud ecosystem including data enablement and data acquisition support.
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Write software using Python to automate data ingestion and data processing into the Analytical Data Warehouse. -Experience supporting the ETL functionality for loading data to a data warehouse allowing business analysts and functional leaders.
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