Middle Data Engineer with Snowflake
- Рівень:
- middle
- Джерело:
- djinni.co
Що робити
- Hands-On Development: Build, maintain and optimize data pipelines for ingestion, transformation and delivery of media data (Meta, Google Ads, DV360, TikTok, The Trade Desk, GA4, CM360 and others).
- Create and implement scalable solutions to handle many data sources, frequent API and schema changes, and high volumes of data.
- Data Modeling & Warehousing: Design and maintain efficient, harmonised data models for cross-platform media reporting in Snowflake.
- Lead the move of transformation logic to dbt, including orchestration, testing, documentation and CI/CD.
- Collaboration: Partner with Solution Architects to translate high-level designs into detailed implementation plans.
Що очікуємо
- 2+ years of experience showing technical expertise and critical thinking in data engineering.
- Hands-on experience with dbt and strong Python programming skills.
- Proficiency in Snowflake and strong expertise in data modeling are essential.
- Demonstrated experience with marketing, media or advertising data (ad platform APIs, campaign hierarchies, web analytics) is required.
- In-depth understanding of security and governance in Snowflake: RBAC, secure views, data sharing, masking and row access policies, object tagging.
Що пропонуємо
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professi
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