Senior Data Engineer, Databricks (Latam)

Senior Data Engineer, Databricks role requires 5+ years of experience in data engineering, hands-on experience with Databricks, and expertise with Python, PySpark, Spark SQL, and Databricks Delta Lake technology. The role involves designing, developing, and optimizing data pipelines, architectures, and analytical workflows, and advising customers on data security, governance, and architecture.

Requirements

• 5+ years of experience in data engineering roles.
• 2+ years of hands-on experience with Databricks;
• Strong expertise with Python, PySpark, Spark SQL, and Databricks Delta Lake technology.
• Experience with Spark Structured Streaming, Delta Live Tables (DLT), and cloud data stacks.
• Advanced SQL skills and familiarity with relational and modern databases.
• Ability to work collaboratively in remote teams, provide technical leadership, and act as a trusted advisor.

Benefits

• Competitive compensation and performance-based incentives.
• Fully remote work with flexibility in schedule and location.
• Opportunities to work on cutting-edge data projects and cloud technologies.
• Professional growth through exposure to diverse clients and data challenges.
• Collaborative, inclusive, and supportive company culture.
• Access to learning and development resources to advance technical skills.