Senior Data Engineer - Databricks & Lakehouse Architect
Senior Data Engineer building scalable lakehouse data platforms for global clients using Databricks, Snowflake, PySpark and Azure Data Factory. Works in Agile sprints with DevOps, cloud engineers and data scientists to deliver data solutions across APAC from Kuala Lumpur.
- Compensation
- Not disclosed
- Location
- Kuala Lumpur, Malaysia
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Senior data engineering experience
- Specialization in Databricks
- Snowflake expertise
- Building pipelines with Azure Databricks and PySpark
- Designing data ingestion workflows with Azure Data Factory
- Defining storage schemas to support AI analytics workloads
- Working in Agile sprints with DevOps, Cloud Engineering and Data Scientists
Full description
Jbsfamily is expanding its Data Engineering team in Malaysia. We seek a Senior Data Engineer specializing in Databricks and Snowflake to build scalable lakehouse data platforms for global clients.
You will work with DevOps, Cloud Engineering and Data Scientists in Agile sprints to deliver data solutions across APAC. You will build pipelines with Azure Databricks and PySpark, design data ingestion workflows with Azure Data Factory, and define storage schemas to support AI analytics workloads.