I'm hiring an Analytics Engineer (GCP) to join my team at RHR International, reporting directly to me.
What you'd actually be doing: building and owning our analytics foundation in a GCP-first environment — BigQuery, Looker Studio, Python, SQL, GitHub, Docker. Real production work, version-controlled and documented, not throwaway queries.
RHR is a leadership consulting firm that's been around 80+ years. We're cloud-first, SaaS-only, no on-prem. Small IT team, which means your work matters immediately.
What I'm looking for beyond the technical skills: curiosity, self-direction, and the ability to explain what you built and why to people who don't write code. Bonus points if you've fixed something nobody asked you to fix.
Hybrid in Chicago preferred, remote considered.
Link to apply: https://www.linkedin.com/jobs/view/4399748962/
If you know someone who fits, I'd appreciate the tag or share.
#Hiring #AnalyticsEngineer #GCP #BigQuery #DataEngineering #Chicago #RHRInternational #Google

#geoparquet-io is an open-source #CLI tool and #Python library for converting, inspecting, optimizing, and partitioning #GeoParquet files, automatically applying GeoParquet performance best practices along the way. Its extract command can pull geodata from sources such as #WFS, #Esri ArcGIS Feature Services, or BigQuery into GeoParquet.
🌐 In our new blog post, Juan Pablo Bascur introduces the ORION Dashboard: a tool that makes #openresearchdata accessible, interactive, and easy to explore. It enables easy exploration of CWTS #OpenAlex data on #BigQuery, letting users analyse institutions, funders, and research topics via interactive visualisations and reproducible SQL queries, without any coding skills required 👩💻.
🔎 Discover the blog post here 👉 https://www.leidenmadtrics.nl/articles/orion-dashboard-bringing-open-research-data-within-reach
TCO или Полная Стоимость Владение современных подходов в ETL для DB MPP
О чем эта статья : В данной статье я хочу сравнить TCO старых добрых ETL как например Informatica, ODI, MarkitEDM и подобных им vs DBT + AirFlow и подобных им Очень легко проанализировать стоимость лицензий или вычислений и хранения в случае облачной БД, но очень сложно — TCO. Стоимость разработки одной фичи, стоимость поддержки, стоимость сопровождения, стоимость изменений. Очень заманчиво учитывать только расходы на лицензии и вычисления и предполагать, что все остальные расходы одинаковы, хотя это не так. По умолчанию облачные MPP-базы обычно дешевле по хранению и вычислениям и не имеют лицензионной платы, и возникает соблазн использовать такой же безлицензионный подход в ETL, но есть недостатки :
Claude Code + BigQuery → agent analityczny, który pracuje na Twoich danych 24/7
Bez kopiowania zapytań. Bez pośredników. Bez przełączania między narzędziami.
To wszystko dzięki połączeniu Claude'a bezpośrednio do BigQuery przez MCP.
#iToSięLiczy
#AI #BigQuery #GoogleCloud #GA4 #DataDrivenMarketing #Automatyzacja #MarketingAnalytics
AshutoshShrivastava (@ai_for_success)
Google이 BigQuery Studio 내 Gemini 기반 어시스턴트를 업그레이드: 현재 활성 쿼리 탭의 문맥을 이해해 코드 복붙·문맥 설명 불필요, 고급 SQL 생성 및 AI 연산자 포함한 쿼리 생성 기능 추가.

🚨 Google has upgraded the Gemini powered assistant inside BigQuery Studio. TLDR - Gemini assistant in BigQuery Studio now understands your active query tabs - No need to copy paste code or explain context again - Can generate advanced SQL including AI operators and
BigQuery pipe syntax by example
by Antonella Blasetti
❤️❤️ Pipe syntax is so, so awesome! Seriously.
https://medium.com/google-cloud/bigquery-pipe-syntax-by-example-blasetta-0f3df50ba331