Data Engineering Specialist, II

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

📋 Description

• Design, implement, and maintain contemporary Data Lake and Lakehouse frameworks.

• Construct and enhance both real-time and batch data ingestion pipelines.

• Establish standards for Data Quality and implement security/privacy measures.

• Act as a technical resource for the team and advocate for best practices in development.

• Detect bottlenecks in large-scale data processing systems.

⛳️ Requirements

• At least 7 years of practical experience in Data Engineering.

• Proficient experience with Apache Spark (including PySpark/Scala) and workflow orchestration tools (such as Airflow, Prefect, or Dagster).

• Strong proficiency in Python or Scala, along with excellent SQL capabilities.

• Familiarity with dimensional modeling methodologies.

• Experience with Terraform or equivalent infrastructure-as-code solutions.

🏝️ Benefits

• Health insurance.

• Diversity, Equity, and Inclusion initiatives.

• Work/life balance.

• Opportunities for professional development.

• Wellness programs.