Senior Data Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design and develop a scalable data warehouse or data lakehouse to facilitate analytics, reporting, and business KPIs.

• Build and sustain dependable batch and/or streaming data pipelines from both internal databases and external systems.

• Collaborate with stakeholders to convert business needs into effective data models and schemas.

• Set up and uphold data modeling standards and best practices.

• Implement monitoring, data quality controls, and observability for all data workflows.

• Supply well-structured datasets to empower self-service analytics for BI and data teams.

• Document the data platform, including lineage, definitions, and contracts, to create a unified source of truth for metrics.

⛳️ Requirements

• Over 6 years of experience in data engineering.

• Proficient programming skills in Python.

• Demonstrated success in designing and delivering early-stage data platforms from concept (v1) to production.

• Extensive expertise with modern data tools (e.g., Snowflake/BigQuery/Redshift, dbt, Airflow/Dagster/Prefect, Fivetran/Airbyte, etc.).

• Strong grasp of data modeling, ETL/ELT processes, and pipeline optimization.

• In-depth knowledge of data quality, testing, and monitoring best practices.

• Upper-Intermediate English proficiency or higher is advantageous.

• Experience with AI/ML data pipelines.

• Familiarity with finance/accounting datasets.

• Understanding of compliance frameworks such as SOX or GDPR.

• Experience in mentoring junior engineers.

🏝️ Benefits

• Employees have the option to work remotely.