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Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Working with dbt, Snowflake, Airflow, Python, Stitch, and git, and we welcome new ideas. Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS. 4+ years of data warehousing experience (Redshift, Snowflake, other.
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Our team consists of domain experts in big data who have solved similar problems for companies such as Google, Vertica, Uber, Stripe, Facebook, Pure Storage, DBT, and Snowflake, and other thought leaders in the industry.
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Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema) Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink.
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Previous experience building data platforms on the cloud using Databricks or Snowflake. Knowledge of modern data stacks like Airflow, Databricks, Google BigQuery, dbt, Fivetran. Previous experience building data platforms on the cloud using Databricks or Snowflake.
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Experience with distributed systems, Snowflake, Python, Airflow, Kafka, MongoDB, Redis, Datadog, Kubernetes, React, Ruby, Ruby on Rails. Our Datalake team plays a crucial role in streaming, accessing, and securely sharing vast amounts of data with both internal and external stakeholders through Kafka and Snowflake.
$225,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker.
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Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. Experience with Data warehouses like Snowflake, BigQuery, Object Storage like S3.
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For example, you will onboard new datasets from MongoDB/RDS/Kafka to Snowflake and Databricks, conduct impact analysis based on data lineage, and refactor data model for quality, reusability, performance, and cost efficiency.
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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks.
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Expert in engineering modern warehouse technologies and processes ( Redshift, Snowflake, Netezza, Teradata, BigQuery, Presto, etc. Expert in engineering modern warehouse technologies and processes ( Redshift, Snowflake, Netezza, Teradata, BigQuery, Presto, etc.
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These platforms are built on AWS Cloud with S3, Glue, Talend, Redshift, Snowflake, Tableau, Qlik, and Alation. 2+ years of experience with Snowflake Data Cloud. These platforms are built on AWS Cloud with S3, Glue, Talend, Redshift, Snowflake, Tableau, Qlik, and Alation.
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Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures.
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Strong technical programming skills; SQL, R, SAS, Python, Snowflake, Tableau/Looker, Strong technical programming skills; SQL, R, SAS, Python, Snowflake, Tableau/Looker, Demonstrated data visualization experience; Tableau/Looker, Power BI.
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Observability related tooling such as Kafka, Snowflake, DataDog. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy.
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snowflake job in San Francisco, CA
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