Data Engineer

About the role

Data Engineer needed to design and implement scalable data solutions for Dlytica Nepal’s Data & AI team. You will work on the DataNature Sovereign AI Lakehouse, AI360 Studio and enterprise data projects for clients in North America, Nepal and the Middle East.

Key responsibilities

• Design, develop and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Spark SQL, Python and Delta Lake.
• Build and orchestrate data workflows with Apache Airflow on cloud platforms.
• Implement version control, Git workflows and CI/CD pipelines to ensure reliable releases.
• Collaborate with technical teams, project managers and international clients throughout requirement gathering, solution design and delivery.
• Troubleshoot pipeline issues, monitor data quality and enforce best practices for security, performance and maintainability.

Required profile

• At least 3 years of hands‑on experience in data engineering.
• Strong analytical mindset with ability to work in a hybrid environment and across time zones.
• Excellent communication skills for interacting with global stakeholders.

Required skills

• Databricks
• PySpark
• Spark SQL
• Python
• Delta Lake
• Unity Catalog
• Apache Airflow
• Git and CI/CD pipelines
• Cloud platforms (AWS, Azure or GCP)