Senior Data Engineer ID82547
On-siteBogotá, Bogota D.C., Colombia
Job Summary
Partner with internal data teams to clean, transform, and structure customer, sales, and behavioral datasets inside Snowflake for a Customer Data Platform. Develop AI-readiness semantic models and views while writing production-grade SQL and Python scripts for data extraction, automated wrangling, and complex semi-structured payload parsing. Collaborate directly with business stakeholders to translate operational needs into technical specifications, engineer datasets for retail initiatives, and maintain rigorous documentation including data dictionaries and model descriptions. Manage clean code repositories following established git workflows and 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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