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The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or Amazon Glue. The candidate must also have experience in data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow.
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Data Management and Query Optimization: Manage and optimize data queries in Snowflake, ensuring data integrity, efficiency, and compliance with data governance standards. Wyze has a full benefits package through Premera Blue Cross.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Familiarity with data modeling, MSSQL and/or Python for ad-hoc analysis, and cloud and native data warehouse systems such as Snowflake, Azure SQL, Redshift, or similar. 5 - 7 years: Hands-on experience with cloud and native data warehouse systems such as Snowflake, Azure SQL, Redshift or similar.
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Extensive experience using Snowflake, AWS SageMaker, GCP/GCP BigQuery, DBT, and Airflow for AI/ML model deployment and operationalization. Use best practices to design and develop feature stores on Snowflake and other platforms to support rapid AI/ML model development.
$185,800 - $323,400 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Design and implement high-performance data processing pipelines using Spark Streaming, Databricks, Snowflake and other technologies to ensure data security and privacy. Design and implement high-performance data processing pipelines using Spark Streaming, Databricks, Snowflake and other technologies to ensure data security and privacy.
$215,000 - $322,250 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with Cloud data warehouses like BigQuery, Snowflake, Redshift preferred. Experience with Cloud data warehouses like BigQuery, Snowflake, Redshift preferred. System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia.
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Leverage performance data, market trends, and business dynamics to operate and maintain detailed financial projections for all cloud environments such as Google Cloud, AWS, and Snowflake. Experience with data visualization tools (Tableau, Looker, Microsoft BI, etc.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks.
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3+ years (or educational equivalent) building data pipelines using Azure data tools and services (Azure Data Factory, Azure Databricks, Azure Function, Spark, Azure Blob/ADLS, Azure SQL, Snowflake.
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8+ years of experience in wide variety of distributed systems and frameworks – such as Apache Spark, Kafka, Airflow, Kubernetes, Cassandra, Druid, Snowflake and more. 8+ years of experience in wide variety of distributed systems and frameworks – such as Apache Spark, Kafka, Airflow, Kubernetes, Cassandra, Druid, Snowflake and more.
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Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflakes Snow SQL Writing SQL queries against Snowflake. Hands-on experience with Snowflake utilities such as Snow SQL, Snow Pipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures.
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Snowflake employees must abide by the company's data security plan as an essential part of their duties. You will be driving the development of end-to-end automated tests, automation frameworks, and tools to have robust automated testing pipelines for the Snowflake Data Cloud.
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Work with a variety of Data/ Data science platforms such as Snowflake, Databricks, MLflow, AWS Sagemaker, leveraging Python, Spark/Scala, SQL. Work with a variety of Data/ Data science platforms such as Snowflake, Databricks, MLflow, AWS Sagemaker, leveraging Python, Spark/Scala, SQL.
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Directing Data warehouse concepts like Star Schema, Snowflake, dimension and fact tables, and how to scale these solutions for performance and resiliency for reporting; Directing IT business processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Content Management, Reporting, Search; Protecting intellectual property, disaster recovery planning and adherence to SDLC as well as COBIT, CMMI, PMM4, and ITIL.
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snowflake job in Seattle, WA
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