Databricks Data Integration Engineer | Cloud Pipelines

EPAM Systems; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

EPAM Systems in Kuala Lumpur is seeking an experienced Data Integration Engineer specializing in Databricks to design enterprise data products and pipelines that deliver insights and value to business teams.

You will collaborate with stakeholders, implement ETL/ELT solutions on Azure or AWS, and use SQL, Python, and PySpark to transform large datasets and support Power BI reporting. The role offers exposure to global projects and a path to grow with leading technologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Strong experience in data integration and ETL/ELT solutions.
• Proficient in SQL/Python for data transformation and analysis.
• Experience with Databricks and Delta Lake concepts.
• Familiarity with cloud platforms Azure and AWS.
• Hands-on data pipeline development on Databricks and collaboration with analytics teams.
• Excellent written and verbal English communication.

Responsibilities

• Develop, maintain and support ETL/ELT solutions.
• Implement and manage Databricks pipelines/notebooks on Azure or AWS.
• Use SQL, Python, and PySpark/Scala to transform and analyze large datasets.
• Collaborate with the team on Microsoft Power BI.
• Ensure best practices in development, testing, and deployment.
• Create technical documentation related to the project.

Skills

Data integration

Databricks

ETL/ELT

SQL

Python

Scala

PySpark

Communication in English

Education

Bachelor's degree in Computer Science or IT

Tools

Power BI

Databricks

Delta Lake

Azure

AWS

Job description

EPAM Systems in Kuala Lumpur is seeking an experienced Data Integration Engineer specializing in Databricks to design enterprise data products and pipelines that deliver insights and value to business teams.

You will collaborate with stakeholders, implement ETL/ELT solutions on Azure or AWS, and use SQL, Python, and PySpark to transform large datasets and support Power BI reporting. The role offers exposure to global projects and a path to grow with leading technologies.