Senior Data Engineer ID82547
On-siteGuadalajara, Jalisco, Mexico
EXPIREDGuadalajara, Jalisco, MexicoOn-siteFull TimeSenior LevelLarge
Full TimeSenior LevelLarge
Job Summary
Clean, transform, and structure customer, sales, and behavioral datasets inside Snowflake to feed the Customer Data Platform. Develop semantic views and metadata to ground downstream AI agents and BI tools, while engineering datasets for retail initiatives like store inventory and RFID projects. Write production-grade SQL and Python scripts for data transformation, parse semi-structured data from cloud sources, and maintain thorough technical documentation for all built assets. Partner directly with business stakeholders to translate operational needs into technical specifications and manage data quality checks.
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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