Advanced Data Modeling: Build and maintain complex data models in BigQuery and Snowflake, applying dimensional modeling techniques and performance optimization.
Development with Dataform/dbt: Develop data transformation pipelines using Dataform (preferred) or dbt, ensuring modularity and code reuse.
Quality and Testing: Implement automated data tests and ensure rigorous technical documentation for each table and business rule developed.
Automation and CI/CD: Operate and evolve deployment pipelines, ensuring production changes are safe and validated via Git.
Code Review and Support: Perform peer code reviews and support mid-level and junior analysts with day-to-day technical challenges.

SQL Expert: Absolute mastery of SQL for complex transformations, window functions, and cost/performance optimization.
Experience with Dataform or dbt: Strong hands-on experience with at least one of these transformation frameworks.
Cloud Data Warehousing: Proven experience with BigQuery (partitioning, clustering) and/or Snowflake.
Engineering Culture: Proficiency with Git (version control), basic CI/CD practices, and data governance concepts.
Problem-Solving Profile: Ability to take a complex business problem and translate it into an efficient table architecture.

Desired:

Python: Knowledge for task automation and API integration.
Cloud Run / Docker: Familiarity with infrastructure concepts for orchestrating data processes.
Data Architecture: Knowledge of different methodologies (Star Schema, Data Vault, or OBT).

Food support: Meal Voucher / Food Voucher.
Health care: Health plan and life insurance.
Development support: Dasa University, Development and Career Cycle, Technology Academies/PMAX, and the Crescer program within Dasa.
Other: Performance bonus (PPR).

Only Dasa has — Health Program based on 5 pillars:

Senior Analytics Engineer – Data

Key skills