What are the responsibilities and job description for the DATABRICKS AI NATIVE ENGINEER position at Kaizen Technologies?
Job Description:
- Build highly available, secure, and scalable cloud-native data solutions.
- Develop ETL/ELT frameworks for ingesting, transforming, and publishing enterprise data.
- Implement high-volume distributed processing using Spark and PySpark.
- Leverage GitHub Copilot, Claude Code CLI, and AI-assisted development tools to accelerate engineering productivity.
- Build Proof of Concepts (POCs) and MVPs using AI-powered development approaches.
- Develop cloud-native solutions leveraging AWS and Databricks ecosystems.
- Build scalable architectures for data ingestion, processing, storage, and analytics.
- Strong experience in building enterprise-grade data pipelines, modern Lakehouse architectures, AI-enabled data products, and cloud-native platforms leveraging Databricks, AWS EMR, Spark, PySpark, and AI-native engineering tools such as GitHub Copilot and Claude Code.
- The role aligns with enterprise initiatives around AI-assisted engineering, intelligent automation, and AI-powered development workflows.