Senior Data Engineer - Digital Marketing (Santo Domingo)

📋 Description

• Design, build, and maintain scalable ETL pipelines for large-scale data processing.
• Work extensively with PySpark and Databricks to execute complex data transformations and workflows.
• Fine-tune data pipelines to maximize performance, scalability, and cloud cost-efficiency.
• Partner with engineering and business teams to translate requirements into high-quality data
• Debug, resolve, and prevent complex data processing and pipeline bottlenecks.
• Enforce best practices for data quality, governance, and system performance.

🎯 Requirements

• 5–7 years of hands-on data engineering experience building production-grade solutions.
• Strong proficiency in PySpark and extensive hands-on experience with Databricks.
• Advanced knowledge of Databricks AutoLoader, Python, best practices, performance tuning, and
• Deep understanding of end-to-end ETL processes, complex data transformations, and pipeline
• Exceptional problem-solving skills and the ability to communicate technical concepts clearly across

🎁 Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond
• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects