Senior Data Engineer (AI Data Platform)

New

JobgetherData Engineering

BrazilContractSenior

Salary not disclosed

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Job Details

5+ years of professional experience as a Data Engineer working with production-scale data platforms.
Strong hands-on expertise with Snowflake, including query profiling, performance tuning, and cost optimization.
Solid experience with dbt, including model design, incremental models, and production optimization.
Proven experience developing, refactoring, and operating Airflow DAGs in production.
Advanced SQL skills with experience resolving complex production performance issues.
Working proficiency in Python for data engineering and automation.
Strong understanding of Medallion Architecture and data consolidation.
Experience performing live schema refactoring and safe production data migrations.
Hands-on experience with Git and CI/CD practices.
Ability to work independently and make sound technical decisions.
Upper-Intermediate to Advanced English proficiency (B2+/C1).

Refactor existing schemas and tables to improve consistency and data structure across Bronze, Silver, and Gold layers.
Execute safe, production-grade data migrations and schema changes.
Develop, maintain, and optimize dbt models, including incremental models and data quality tests.
Refactor and optimize Airflow DAGs to improve pipeline reliability, efficiency, and performance.
Profile and tune Snowflake queries, warehouse sizing, and resource utilization.
Implement aggregation strategies to improve dashboard performance for data-driven applications.
Monitor, troubleshoot, and resolve production data issues.
Follow Git-based development and CI/CD practices for production changes.

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