Senior Data Engineer ID82547
On-siteRio de Janeiro, Rio de Janeiro, Brazil
Job Summary
Partner with an internal data team to clean, transform, and structure incoming customer, sales, and behavioral datasets inside Snowflake for the Customer Data Platform. Develop AI-readiness data models and semantic views in Snowflake, while writing production-grade SQL and Python scripts for data extraction, automated wrangling, and complex semi-structured data parsing. Collaborate directly with cross-functional business stakeholders to translate operational needs into technical specifications and maintain rigorous documentation across all built assets. Maintain clean code repositories, follow git workflows, and take on additional analytics engineering priorities as assigned. 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
- Hands-on experience working within at least one major cloud data ecosystem (AWS, Snowflake, GCP, or Azure)
- Ability to collaborate directly with business partners, ask clarifying questions, and turn operational needs into technical specifications
- A disciplined habit of maintaining thorough technical documentation and code comments
- Upper-intermediate English level
- Eastern Time Zone overlap preferred
Desired Qualifications
- Experience writing, modularizing, and testing dbt models
- Direct experience querying Snowflake data warehouses and manipulating staging data stored in S3 buckets
- Familiarity with Apache Airflow or similar pipeline schedulers
- Background in omni-channel retail, store operations, inventory management, or customer analytics
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