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Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake. Experience with data integration and data governance tools (e.g., Talend, Informatica, or Collibra.
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5+ yrs in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, and AWS data services. -Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services.
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Responsibilities include but are not limited to:Data Architecture Design:Collaborate with cross-functional teams to understand data requirements and design optimal data models within the Snowflake environment.
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Deep knowledge of B2C and B2B analytics data and tools, including but not limited to Adobe Analytics, Google Analytics, Amplitude, Segment, Pendo, Snowflake, Tableau, PowerBI.Experience in defining, managing and using product instrumentation/ telemetry data from modern cloud platforms.
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Strong knowledge of database management (Postgres and Snowflake), SQL, and NoSQL databases. Demonstrated experience with AWS services (e.g., EC2, RDS, S3, Lambda, Glue, Redshift, Athena, EMR) and data pipeline tools (e.g., Apache Airflow, Luigi, etc.
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Collaborate closely with Data and Analytics teams to assess the suitability of GCP or Snowflake. Provide training to existing resources proficient in SAP HANA/Snowflake. Snowflake: 10 years (Preferred.
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Experience with Smartsheet, Kibana, Snowflake, Tableau, Sparkpost, and Google Suite optional but highly desired. Experience with Smartsheet, Kibana, Snowflake, Tableau, Sparkpost, and Google Suite optional but highly desired.
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Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. They enjoy the challenges of consulting and thrive to knock the socks off of clients.
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Advanced understanding of data warehousing concepts, including star and snowflake schemas. Apply basic knowledge of IT service desk operations and Asset Management Database (AMDB) concepts. Advanced understanding of data warehousing concepts, including star and snowflake schemas.
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The candidate will work on building, scaling, and monitoring highly complex BigData platform on Databricks, Snowflake DB and ElasticSearch cloud. The candidate will work on building, scaling, and monitoring highly complex BigData platform on Databricks, Snowflake DB and ElasticSearch cloud.
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Experience with data visualization tools such as Power BI and Tableau. 2+ years with databases such as SQL Server, Oracle, MySQL. Experience with cloud based data services offered by Azure, AWS and Google.
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Bonus: Experience working with dashboards in Tableau or experience working with Snowflake/dbt/AirflowSolid understanding of modern B2B marketing, ideally familiar with concepts such as lead management, nurturing, demand waterfalls, martech, and governance.
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Experience with Marketo, Tableau, Power BI and Snowflake highly desirable. Experience with Marketo, Tableau, Power BI and Snowflake highly desirable. Specific tasks include event registration, Marketo integrations, analytics, email management, downstream reporting, onsite check-in, and mobile.
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Data analysis skills (SQL & snowflake - both are MUST) Data analysis skills (SQL & snowflake - both are MUST) Position Role/Tile: Data Analyst. Enterprise Agreement (EA) subject matter expert (Good to have.
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Experience with Snowflake. At AssistRx, we are search for a full-time Integration Engineer with the relevant professional qualifications and experience to work with us to design and build our data warehousing and analytics capabilities.
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snowflake job in San Jose, CA
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