Job Description
An employer in San Francisco, CA is seeking a technical Data Engineer to perform data migration from Splunk to Snowflake. Pull a subset of aggregated web server log data out of Splunk into Salesforce's Snowflake environment.
Benefits
Allows us to understand when search engines & LLM's crawl our content, and which content they crawl.
This data is valuable to the SEO team (to understand how frequently our content is being consumed by LLM's and search engines), to the content team (as part of the CPS score).
Allows us to understand the number of 301 redirects and 404 error pages encountered by users accessing our site.
This data is valuable to understand website health and to measure the impact of an internal project that is aimed to reduce the number of 301's and 404's.
Data retention
Splunk only keeps data for 3 months.
Milestones
Build out the query pattern in Splunk to extract the data that's needed to answer the aforementioned points (we don't want to bring in everything).
Store the data in an intermediate storage area (such as an AWS S3 bucket). Doing this allows us to be flexible in the final destination of this data. Today the final destination is - Snowflake, but in case one year down the line we decide to do everything in Data 360, this step will still be relevant).
Build an ETL process to ingest this data into Snowflake.
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Skills and Requirements