Technical Standardization: Establish and maintain rigorous development standards in Dataform and dbt, ensuring modular, versioned, high-performance code.
Data Architecture: Design and optimize data models in BigQuery and Snowflake, ensuring smooth transitions and preservation of business rules across platforms.
Automation and DevOps: Build and maintain CI/CD pipelines (via Cloud Run or other orchestration tools) to ensure secure, automated deployments.
Evangelism and Culture: Promote software engineering best practices applied to data (DRY, testing, documentation) through internal training and presentations.
Mentorship and Innovation: Act as a facilitator for the team, fostering an environment open to innovative ideas and conducting educational code reviews.

Advanced SQL Mastery: Deep experience in query optimization and dimensional modeling logic.
Experience with Dataform: Hands-on experience with the tool for data governance and transformations on Google Cloud.
Experience with BigQuery: Understanding of architecture, partitioning, and processing costs.
Software Engineering for Data: Proficiency with Git (Gitflow), data testing, and technical documentation.
Soft Skills: Clear communication ability to educate the team and present complex concepts in an accessible manner.

Preferred:

Knowledge of dbt (Core or Cloud): Prior experience to support evaluation and implementation of the tool.
Experience with Snowflake: Knowledge of multi-cluster cloud data warehouse architecture.

Food support: Meal Voucher / Food Voucher
Health care: Health Insurance and Life Insurance
Professional development: Universidade Dasa, Development and Career Cycle, Technology Academies / PMAX, and the Crescer (Grow) program within Dasa
Other: Performance bonus (PPR)

💰 Unique to Dasa – Health Program based on 5 pillars:

Data Engineering Specialist – Analytics Engineering

Key skills