Senior Data Engineer

To support the migration of existing data workloads from Cloudera to a modern data platform, including Databricks and cloud storage. The role focuses on data migration, pipeline optimization, data quality, and ensuring reliable, secure, and efficient data operations.

TechAxis is looking for an experienced Senior Data Engineer to support the migration of existing data workloads from Cloudera to a modern data platform, including Databricks and cloud-based storage. The ideal candidate will have strong hands-on experience in big data technologies, data pipeline optimization, and large-scale data migration.
 

Key Responsibilities
 

• Assess and migrate existing Cloudera data workloads to the target data platform.
• Migrate and optimize data pipelines, Spark jobs, and SQL transformations.
• Support migration from HDFS to cloud storage and Databricks.
• Ensure data integrity, quality, and consistency throughout the migration process.
• Optimize Spark workloads and compute resources for performance and cost efficiency.
• Implement data governance, security, monitoring, and error-handling mechanisms.
• Perform testing, troubleshooting, production deployment, and technical documentation.
• Ensure the reliability and performance of data pipelines in the target environment.

Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Engineering, or a related field. Equivalent practical experience in Data Engineering and big data platform migration may also be considered.

• Opportunity to work on a data platform migration project.
• Hands-on experience with modern big data and cloud technologies.
• Work with technologies such as Databricks, Apache Spark, PySpark, and cloud platforms.
• Opportunity to contribute to technical decision-making and performance optimization.
• Professional growth through challenging data engineering work.

• Job level: Mid Level
• Employment type: Full Time
• Work nature: on-site
• Job location: Kathmandu
• Apply before: 2026-11-28