Senior Data Engineer

📋 Description

• Own and operate data pipelines: Maintain and improve Tala's change data capture (CDC) and data
• Improve pipeline performance and scalability: Identify and implement improvements to reduce
• Build and evolve data infrastructure: Onboard new data sources, tables, and markets while managing
• Drive reliability and data quality: Establish service level objectives (SLOs), implement monitoring
• Strengthen engineering practices: Develop and maintain unit and integration tests, CI/CD workflows
• Lead incident resolution: Troubleshoot production issues, conduct root cause analyses, and

🎯 Requirements

• 4+ years of experience in backend engineering or data engineering, ideally supporting
• At least 2 years of hands-on professional Python experience.
• Proven experience independently building, operating, and improving production-grade data pipelines.
• Hands-on experience with change data capture (CDC) and stream processing technologies such as
• Strong proficiency in Apache Spark, particularly Spark Structured Streaming.
• Experience with modern data lakehouse architectures and table formats such as Apache Iceberg, Delta