Full Data Engineer

Vacancy: Full Data Engineer
Modality: Monthly Allocation (6-12 months)
Level: Senior or Light
Model: PJ - Total Dedication
Availability: Immediate - Remote or Hybrid - São Paulo

Job Summary

We are looking for a Full Data Engineer to work on an ongoing basis, providing support to the Redshift post-migration environment, ensuring governance, quality, and continuous evolution of data structures and pipelines.
The professional will work directly with business and technology teams, ensuring integrity, reliability, and visibility of the data ecosystem, as well as supporting operational improvements and best practices initiatives.

Main Responsibilities

Sustain the Redshift environment after migration (models, tables, and performance)
Implement and monitor data governance processes
Create and monitor quality, integrity, and observability metrics
Manage the data catalog, ownership, glossary, and technical documentation
Execute simple adjustments, corrections, and evolutions to existing pipelines
Monitor indicators and ensure adherence to DataOps best practices
Support analyses, troubleshooting, and incident investigations
Collaborate with BI, engineering, and product teams

Minimum Requirements

Advanced SQL
Intermediate Python
Experience with Data Lake, Lakehouse, and structured modeling
Familiarity with Redshift (desirable) or equivalent experience with other DWs (Snowflake, BigQuery, Synapse)
Knowledge of data quality and governance
Experience with BI tools (Power BI, Tableau, Quicksight, etc.)
Basic documentation and versioning skills

Desired Differentiators

Experience with AWS (S3, Glue, Lambda, AWS DMS)
Previous experience with ongoing allocation (sustaining/evolutionary support)
Familiarity with catalog and observability tools
Experience with DataOps and CI/CD for pipelines

Behavioral Profile

Analytical profile and process-oriented
Good communication with multiple areas
Proactivity to identify improvements
Organization, discipline, and continuous quality vision
Ability to work autonomously but always integrated into the team

Contract Model and Additional Information

Type of Link: PJ
Dedication: Full-time
Estimated Duration: Monthly Allocation (6-12 months)
Work Location: Remote or Hybrid (as needed by the project)
Availability: Immediate or as previously aligned