Your skill map

Databases · Learning guide

BigQuery

Asked for in 6 job posts at 3 companies across Canada.

No job posts in Columbus yet, so we're showing all of Canada.

Demand over time

Job posts asking for BigQuery, by week, last 16 weeks

6

in the last 4 weeks · 0 the 4 before

Job posts asking for this skill, by week
Week ofJob posts
Jul 200
Jul 270
Aug 30
Aug 100
Aug 170
Aug 240
Aug 310
Sep 70
Sep 140
Sep 210
Sep 280
Oct 50
Oct 122
Oct 191
Oct 260
Nov 23

Who's hiring

Companies with posts that ask for it

  • LLightspeed3
  • HHopper2
  • CCohere1

Newest job posts

Learn next

Asked for in the same posts

Impact projects

Real problems in Canada, from public data. Build something that helps, and prove BigQuery while you do it.

  • AI-suggestedUN SDG 11

    In Calgary, emergency shelter beds shifted from 1959 in 2016 to 1736 in 2025. This capacity constraint directly affects unhoused residents seeking safe overnight shelter.

    Emergency shelter beds, Calgary (yearly)
    Emergency shelter beds, Calgary (yearly)
    PeriodValue
    20161,959 beds
    20171,949 beds
    20182,052 beds
    20191,916 beds
    20201,861 beds
    20211,232 beds
    20221,615 beds
    20231,769 beds
    20241,746 beds
    20251,736 beds
    What to build
    Build a centralized SQL reporting database for shelter coordinators to track bed inventory across local facilities.
    How it practises BigQuery
    Write BigQuery SQL queries with window functions and table partitions to analyze bed distribution patterns efficiently.
    Proof to submit
    Submit a public repository with BigQuery SQL scripts and a short video demonstration of the query results.
    Data: Statistics Canada table 14-10-0353-01
  • AI-suggestedUN SDG 2

    The share of people living in food-insecure households in Alberta moved from 19.4 in 2018 to 28.4 in 2024. This trend affects low-income families and children struggling to access daily nutritious meals.

    Share of people living in food-insecure households, Alberta (yearly)
    Share of people living in food-insecure households, Alberta (yearly)
    PeriodValue
    201819.4%
    201918.6%
    202019.8%
    202122%
    202228.2%
    202331.3%
    202428.4%
    What to build
    Build a data warehouse model for provincial food banks to evaluate pantry inventory and client demand patterns.
    How it practises BigQuery
    Write BigQuery analytical queries using aggregations and common table expressions to inspect simulated food distribution logs.
    Proof to submit
    Submit a repository containing SQL schema definitions, queries, and execution run logs.
    Data: Statistics Canada table 13-10-0834-01

Best resources

Free, and hand-picked. Start with the first one.

  1. d01
    Guide

    BigQuery interactive walkthroughs and videos

    docs.cloud.google.com

  2. d02
    Guide

    Use the bq tool

    docs.cloud.google.com

  3. f03
    Guide

    Google BigQuery Beginner's Guide – How to Analyze Large Datasets

    freecodecamp.org

  4. g04
    Guide

    python-docs-samples/notebooks/rendered/bigquery-basics.md at main · GoogleCloudPlatform/python-docs-samples

    github.com

  5. d05
    Guide

    BigQuery Tutorial for Beginners: Setup, SQL & Free Sandbox

    datacamp.com

  6. y06
    Videos

    Free BigQuery courses on YouTube

    youtube.com