Dlocal

Senior Data Engineer

Job Description

What’s the opportunity? 
As a Senior Data Engineer, you'll be a strategic professional shaping the foundation of our data platform. You’ll design and evolve scalable infrastructure, enable data governance at scale, and ensure our data assets are clean, reliable, and accessible.
You will be a go-to expert, mentoring other engineers and influencing architectural decisions across the company.



What will I be doing?
  • Architect and evolve scalable infrastructure to ingest, process, and serve large volumes of data efficiently
  • Lead improvements to existing frameworks and pipelines to ensure performance, reliability, and cost-efficiency
  • Establish and maintain robust data governance practices that empower cross-functional teams to access and trust data
  • Transform raw datasets into clean, usable formats for analytics, modeling, and reporting
  • Investigate and resolve complex data issues, ensuring data accuracy and system resilience
  • Maintain high standards for code quality, testing, and documentation, with a strong focus on reproducibility and observability
  • Stay current with industry trends and emerging technologies to continuously raise the bar on our engineering practices

    • What skills do I need?
  • Bachelor’s degree in Computer Engineering, Data Engineering, or related technical field
  • Proven experience in data engineering or backend software development, ideally in cloud-native environments
  • Deep expertise in Python and SQL
  • Strong experience with distributed data processing frameworks such as Apache Spark
  • Solid understanding of cloud platforms (GCP preferred)
  • Strong analytical thinking and problem-solving skills
  • Able to work autonomously and collaboratively, balancing hands-on work with technical leadership

    • Nice to have
  • Experience designing and maintaining DAGs with Apache Airflow or similar orchestration tools
  • Familiarity with modern data formats and table formats (e.g., Parquet, Delta Lake, Iceberg)
  • Master’s degree in a relevant field
  • Prior experience mentoring engineers and influencing architectural decisions at scale

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