Senior Data Engineer – Digital Marketing

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

📋 Description

• Design, develop, and manage scalable ETL pipelines for extensive data processing.

• Utilize PySpark and Databricks extensively to carry out intricate data transformations and workflows.

• Optimize data pipelines for performance, scalability, and efficiency in cloud costs.

• Collaborate with engineering and business teams to convert requirements into high-quality data solutions.

• Identify, troubleshoot, and mitigate complex data processing and pipeline bottlenecks.

• Implement best practices for data quality, governance, and system performance.

⛳️ Requirements

• 5–7 years of practical experience in data engineering, focusing on building production-grade solutions.

• Strong expertise in PySpark.

• Significant practical experience with Databricks.

• Advanced understanding of Databricks AutoLoader.

• Proficient in Python.

• Familiarity with best practices, performance optimization, and cost efficiency in computing.

• Comprehensive knowledge of end-to-end ETL processes.

• Experience in complex data transformations and pipeline optimization.

• Outstanding problem-solving abilities.

• Capability to convey technical concepts effectively to both technical and business audiences.

• Currently residing in Latin America.

🏝️ Benefits

• 100% Remote Work.

• Highly Competitive USD Salary.

• Paid Time Off.

• Work with Autonomy.

• Opportunities to collaborate with leading American companies on innovative, high-impact projects.

• Engagement activities promoting well-being and work-life balance.

• Work alongside a diverse, global network spanning over 25 countries.

• Collaborate with experienced senior professionals.