| Databricks SME Data Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Mounika, Intelligenz [email protected] Reply to: [email protected] Databricks SME Data Engineer (w/ solid Snowflake expertise) Location: Hybrid (must be in the greater Seattle area) 3-6 month contract (will likely extend) Visa-No H1 Industry: non-profit KPM Notes: Before you submit someone to me please know that their soft skills are MORE important than their accomplishments. Must be 10 out of 10. Positive attitude, engaging, fun, and an overall bad a$$. Do not submit people that do not speak PERFECT American or British English. We need expert level - DEEP databricks skills --------------------------------- Here are the details I have: This is a traditional Data Engineer but needs to be really strong with Databricks & Snow. Data Engineer - Snowflake and Databricks Snowflake, Databricks, SQL Server, ADLS, Python, Azure, ADF, GIT Actions, Scrum, Collaboration, Snowpipe, DBT, Delta Sharing, Snowflake Marketplaces, Semi/Unstructured File Formats, Delta Tables, Iceberg Tables, Unity Catalog, ELT, Source To Target Mapping, Data Warehousing Perform Data engineering tasks on the databricks, snowflake and Azure (ADLS Gen 2, ADF, EntraID etc.) platforms. Collaborate with Data Infrastructure team to align on CI/CD and infrastructure norms and processes. Collaborate and offer recommendations to Data Architect and Sr Data Engineer on data engineering patterns and best practices for snowflake and databricks platforms, including patterns and automation related to data acquisition and transformation, performance tuning, the use of databricks and snowflake tools, and data sharing. Keywords: continuous integration continuous deployment Databricks SME Data Engineer [email protected] |
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| Fri Sep 13 21:11:00 UTC 2024 |