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Nice to have] Experience working both real-time systems like Airflow Kafka, DBT, and batch data pipelines in Redshift, Presto, and Data Lakes. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlan, and Retool to orchestrate data pipelines and define workflows.
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Deep familiarity with advanced SQL in a modern data warehouse environment (BigQuery, Redshift, Snowflake, etc) Our Modern Data Stack is made up primarily of Python, BigQuery, dbt, Looker, Slack, Google Cloud Functions, and of course, Fivetran.
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Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake.
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Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
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AWS (S3, SQS, EventBridge, Lambda, Elastic Beanstalk, Athena, Redshift) In complex CPG verticals like beauty, outdoor gear, and legal cannabis, customers rely on the product recommendation of point-of-purchase experts up to 92% of the time.
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Experience with cloud based data and image management platforms such as BigQuery, Snowflake, Redshift, and S3. Experience with cloud based data and image management platforms such as BigQuery, Snowflake, Redshift, and S3.
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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) Remote Data Analyst.
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Experience with cloud warehouses, such as Snowflake, BigQuery, RedShift and Databricks. Experience with cloud warehouses, such as Snowflake, BigQuery, RedShift and Databricks. Hands-on experience working with any cloud technologies(AWS, GCP,Azure) and containerization methodologies like docker, K8s.
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Possess advanced knowledge of SQL/NoSQL databases (such as Snowflake, Redshift, MongoDB). More than 2,300 customers, including Atlassian, Jersey Mike’s, NBCUniversal, Shopify, and Under Armour, rely on Amplitude to gain self-service visibility into the entire customer journey.
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Experience with cloud computing platforms (Redshift, Google BigQuery, Snowflake). Experience with cloud computing platforms (Redshift, Google BigQuery, Snowflake). Experience with data visualization tools such as Looker or Tableau.
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Relational Databases: RDS/Postgres, Redshift/Postgres experience. Software Languages: Python (or similar backend OOP language), HTML, CSS, Javascript, (React optional), SQL, Bash experience. Demonstrated proficiency with the following technologies: Python (or similar backend OOP language), HTML, CSS, Javascript, SQL Databases, SQL language, AWS, Okta/SSO technologies.
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Experience with data warehouse platforms and technologies such as Amazon Redshift, Google BigQuery, Snowflake, or Microsoft Azure SQL Data Warehouse. Experience with data warehouse platforms and technologies such as Amazon Redshift, Google BigQuery, Snowflake, or Microsoft Azure SQL Data Warehouse.
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Experience in distributed data processing systems ( Hive, Redshift, Presto, Snowflake, etc) Experience in distributed data processing systems ( Hive, Redshift, Presto, Snowflake, etc) Establish partnerships with cross-functional teams including Engineering, Product, Research, Design, Sales, and Marketing.
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Experience working with MySQL, PostgresQL, redshift and elastic search and AWS. Existing Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.
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Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery.
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redshift job in San Francisco, CA
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