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AgileEnginePosted 2 weeks ago
EXPIRED

Senior Data Engineer ID82547

On-siteRecife, Pernambuco, Brazil

Full TimeSenior LevelLarge

Job Summary

Clean, transform, and structure incoming customer, sales, and behavioral datasets inside Snowflake to feed the Customer Data Platform. Develop Snowflake views, semantic models, and structured metadata to ground downstream AI agents and BI tools. Write production-grade SQL queries and Python scripts for data transformation, extraction, and automated data wrangling, including parsing complex semi-structured data from cloud sources. Partner with cross-functional business stakeholders to translate operational needs into technical specifications and maintain thorough documentation for all built assets. This role supports a Customer Data Platform initiative for a growing retail brand, focusing on AI-readiness data models and ad-hoc operational data prep.

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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