Senior Data Engineer ID82547
On-siteCartagena, Bolívar, Colombia
Job Summary
Partner with an internal data team to clean, transform, and structure incoming customer, sales, and behavioral datasets inside Snowflake for a Customer Data Platform. Develop AI-readiness semantic models and views to ground downstream AI agents and BI tools, while engineering ad-hoc datasets for retail initiatives like store inventory and RFID projects. Write production-grade SQL and Python scripts to parse semi-structured data, maintain rigorous documentation, and uphold clean code repositories with automated testing protocols. Collaborate directly with cross-functional business stakeholders to translate operational needs into technical specifications. Eastern Time Zone overlap preferred.
Required Qualifications
- 4+ years writing complex, optimized SQL — window functions, and handling semi-structured/nested data formats
- Strong Python : Proficient writing clean, modular Python scripts for data manipulation, automation, API/file processing, and data quality checks
- Cloud Platform Experience : Hands-on experience working within at least one major cloud data ecosystem (AWS, Snowflake, GCP, or Azure)
- Strong Stakeholder Communication : Ability to collaborate directly with business partners, ask clarifying questions, and turn operational needs into technical specifications
- Rigorous Documentation Focus : A disciplined habit of maintaining thorough technical documentation and code comments
- Upper-intermediate English level
- Eastern Time Zone overlap preferred
Desired Qualifications
- dbt (Data Build Tool): Experience writing, modularizing, and testing dbt models
- Snowflake & AWS S3: Direct experience querying Snowflake data warehouses and manipulating staging data stored in S3 buckets
- Orchestration Tools: Familiarity with Apache Airflow or similar pipeline schedulers
- Retail / E-Commerce Knowledge: Background in omni-channel retail, store operations, inventory management, or customer analytics
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