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Experience using Databases (MySQL/ Postgres / Snowflake / BigQuery) Experience using Databases (MySQL/ Postgres / Snowflake / BigQuery) Familiarity with AWS / Azure / GCP services. Strong knowledge of test-driven development, refactoring, clean architecture, design patterns, etc.
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You will be primarily developing and maintaining processes and solutions in our data platform using technologies such as GCP, AWS, Airflow, Terraform, BigQuery, Kafka, Kubernetes, Snowflake, Python.
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Technical Proficiency: Expertise in data analysis and visualization tools such as SQL, Apache Spark, Python, R, Power BI, Snowflake, BigQuery. Technical Proficiency: Expertise in data analysis and visualization tools such as SQL, Apache Spark, Python, R, Power BI, Snowflake, BigQuery.
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Expertise sur plus d’une base de données (Redshift, Snowflake, Oracle, Azure SQL Database, Synapse, Google Bigquery, Expertise sur plus d’une base de données (Redshift, Snowflake, Oracle, Azure SQL Database, Synapse, Google Bigquery.
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Handle a variety of data sources such as Salesforce CRM, Pardot, Marketo, BigQuery, Google Analytics 360, Segment, Mixpanel, InfoMatch, Treasure Data CDP, among others. Handle a variety of data sources such as Salesforce CRM, Pardot, Marketo, BigQuery, Google Analytics 360, Segment, Mixpanel, InfoMatch, Treasure Data CDP, among others.
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Tool Mastery: Besides your advanced SQL skills, you have hands-on experience with tools like DBT, Snowflake, and BigQuery. proficient in SQL and experienced with Snowflake or BigQuery. Tool Mastery: Besides your advanced SQL skills, you have hands-on experience with tools like DBT, Snowflake, and BigQuery.
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Hands-on experience working with at least one DWH engine (Bigquery, Snowflake, Redshift or similar) Hands-on experience working with at least one DWH engine (Bigquery, Snowflake, Redshift or similar.
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Google Cloud Platform: BigQuery, Dataflow, and Composer. Google Cloud Platform: BigQuery, Dataflow, and Composer. Looker, Amplitude, & Tableau for data visualization. Experience with a BI tool such as Looker or Tableau.
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Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus. Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus. dbt (Python, SQL.
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Experience with cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery) and data integration tools (e.g., Airflow, Stitch, Fivetran). Experience with cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery) and data integration tools (e.g., Airflow, Stitch, Fivetran.
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Comprehensive knowledge of cloud data platforms like Google BigQuery, Snowflake, or AWS. Proficient in ETL processes, knowledge of dbt, kimble modelling, SQL-mech. Familiarity with marketing automation and CRM tools such as Marketo, Pardot, Salesforce, or HubSpot.
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Marketing database/data warehouse experience preferred, e.g. Snowflake, Databricks, Redshift, BigQuery, SQL Server, etc. Marketing database/data warehouse experience preferred, e.g. Snowflake, Databricks, Redshift, BigQuery, SQL Server, etc.
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The main technologies we use include: Elixir, Erlang, Python, Terraform, Ansible, Packer, EMR/Spark, Apache Spark, Apache Druid, BigQuery and Redis. The main technologies we use include: Elixir, Erlang, Python, Terraform, Ansible, Packer, EMR/Spark, Apache Spark, Apache Druid, BigQuery and Redis.
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Experience managing production data pipelines or warehousing data (e.g., Modern Data Warehouse stacks such as dbt, Airflow, Looker, Cloud Composer, BigQuery, Snowflake). Experience managing production data pipelines or warehousing data (e.g., Modern Data Warehouse stacks such as dbt, Airflow, Looker, Cloud Composer, BigQuery, Snowflake.
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Experience with administering data warehouse solutions (like Bigquery/ Redshift/Snowflake). Experience with AWS/GCP cloud services such as GCS/S3, Lambda/Cloud Function,EMR/Dataproc, Glue/Dataflow, Athena.
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bigquery job in Snowflake, AZ
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