It was a great process. I applied through a recruiter who contacted me on LinkedIn. We then set up a call to chat about my experience and the interview process. We scheduled a technical round, and I was able to answer 3 SQL and 2.5 Python questions. It looks like I needed at least 4 SQL and 4 Python questions to get to the next round, so my journey ended here.
+------------------+---------+ | product_id | INTEGER | | store_id | INTEGER | | customer_id | INTEGER | | promotion_id | INTEGER | | store_sales | DECIMAL | | store_cost | DECIMAL | | units_sold | DECIMAL | | transaction_date | DATE | +------------------+---------+
+---------------------+---------+ | product_id | INTEGER | | product_class_id | INTEGER | | brand_name | VARCHAR | | product_name | VARCHAR | | is_low_fat_flg | TINYINT | | is_recyclable_flg | TINYINT | | gross_weight | DECIMAL | | net_weight | DECIMAL | +---------------------+---------+
+------------------+---------+ | promotion_id | INTEGER | | promotion_name | VARCHAR | | media_type | VARCHAR | | cost | DECIMAL | | start_date | DATE | | end_date | DATE | +------------------+---------+
+---------------------+---------+ | product_class_id | INTEGER | | product_subcategory | VARCHAR | | product_category | VARCHAR | | product_department | VARCHAR | | product_family | VARCHAR | +---------------------+---------+
What are the top five (ranked in decreasing order) single-channel media types that correspond to the most money the grocery chain had spent on its promotional campaigns?
The following metrics were computed from 82 interview experiences for the Meta Data Engineer role in Menlo Park, California.
Meta's interview process for their Data Engineer roles in Menlo Park, California is very selective, failing most engineers who go through it.
Candidates reported having very good feelings for Meta's Data Engineer interview process in Menlo Park, California.