Innovative Data Engineer Advanced Data Infrastructure Development
Clever Digital Marketing
About the role
Position
Innovative Data Engineer for Advanced Data Infrastructure Development
Take charge as a Data Engineer, crafting scalable ETL pipelines while optimizing production‑grade infrastructure in a fully remote environment. Leverage your expertise in GCP and Python to transform data into valuable insights for growth.
This role is integral for scaling a GCP‑native data platform, with a focus on creating impeccable data pipelines and enhancing data quality. You’ll translate architectural visions into effective data solutions while working in a collaborative and fast‑paced atmosphere. Engage fully in building and managing data systems that support major advertising initiatives across industries.
Key Responsibilities
- Build robust, scalable ETL/ELT data pipelines
- Integrate event streaming for real‑time data processes
- Own transformation logic within the Medallion Architecture
- Manage data models in Big Query for optimal analytics
- Implement data quality checks and monitoring systems
Requirements
- 3–5+ years of data engineering experience
- Strong GCP knowledge:
- Big Query, Cloud Run, etc.
- Proficient in SQL and Python programming
- Experience with major ad platform APIs
- Understanding of data warehousing principles
Elevate your data engineering career by powering complex data systems that drive real decisions and outcomes for clients across various sectors.
Reference
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Requirements
- 3–5+ years of data engineering experience
- Strong GCP knowledge (BigQuery, Cloud Run, etc.)
- Proficient in SQL and Python programming
- Experience with major ad platform APIs
- Understanding of data warehousing principles
Responsibilities
- Build robust, scalable ETL/ELT data pipelines
- Integrate event streaming for real-time data processes
- Own transformation logic within the Medallion Architecture
- Manage data models in BigQuery for optimal analytics
- Implement data quality checks and monitoring systems
Skills
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