Senior Data Engineer ID82547
On-siteRosario, Santa Fe, Argentina
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 Snowflake views, semantic models, and structured metadata to ground downstream AI agents and BI tools, while writing production-grade SQL and Python for data extraction and automated wrangling. Translate ambiguous business requests into clean, structured data models by collaborating directly with cross-functional stakeholders, and parse complex semi-structured data landed from cloud sources. Maintain rigorous technical documentation, data dictionaries, and model descriptions for all built assets, ensuring clean code repositories and adherence to data testing protocols.
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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