Responsibilities

• Design, build, and maintain data pipelines (batch and streaming)
• Develop and manage data transformation and modeling workflows
• Deploy and maintain production-grade data solutions
• Work with distributed data processing platforms (e.g., Databricks)
• Ensure data quality, reliability, and performance optimization
• Collaborate with stakeholders to translate business needs into technical solutions
• Support data platform architecture evolution (lakehouse / warehouse)
• Monitor pipelines and troubleshoot bottlenecks or failures
• Ensure compliance with data governance, security, and confidentiality policies
• Document solutions and communicate clearly with technical and non-technical stakeholders

Skill, Knowledge & Experience

• Minimum 5 years of experience in data engineering
• Strong experience in:
• Python - Data transformation ...