[HIRING WEEK] Data Engineer (Databricks)

EPAM Systems Inc; Malaysia; On-site; MYR 80,000 - 140,000; Full time

Job summary

EPAM Systems Inc. is seeking an experienced Data Integration Engineer specialized in Databricks to design enterprise data products and pipelines that deliver value and meet business goals.

You will collaborate with stakeholders to create engaging solutions using your design skills and methods. Responsibilities include developing ETL/ELT solutions, managing Databricks pipelines on Azure or AWS, and transforming data with SQL and Python while working with analytics and business teams to ensure

Qualifications

• Strong experience in data integration and Databricks.
• Proficient SQL and Python for data transformation and analysis.
• Knowledge of Delta Lake concepts (tables, partitions, schema evolution).
• Familiarity with cloud platforms (Azure, AWS).
• Hands-on experience building data pipelines on Databricks with cross-functional teams.

Responsibilities

• Develop, maintain, and support ETL/ELT solutions.
• Implement and manage Databricks pipelines/notebooks on Azure or AWS.
• Transform and analyze large datasets using SQL/Python and PySpark/Scala.
• Collaborate with analytics, data science, and business teams to deliver reliable data products.
• Create technical documentation and ensure best practices in development, testing, and deployment.

Skills

Data integration

Databricks

ETL/ELT

SQL

Python

Delta Lake

Cloud platforms

Data pipelines

English communication

Education

Bachelor's degree in Computer Science/IT or related

Tools

Databricks

Delta Lake

Azure

AWS

Job description

We are looking for an experienced Data Integration Engineer specializing in Databricks to join our team. You will design enterprise data products and pipelines that deliver value to users and achieve business goals. You will collaborate with various stakeholders and contribute to creating engaging and delightful solutions by leveraging your design skills and methods. Come and join us to promote the role of design and achieve positive design outcomes.

* Terms and Conditions apply.

Responsibilities

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

Requirements

• Strong experience in Data Integration, proficient in Databricks, and ETL/ELT Solutions
• Strong SQL/Python skills for data transformation and analysis
• Experience with Delta Lake concepts (tables, partitions, schema evolution)
• Familiarity with cloud platforms (Azure, AWS)
• Have hands-on experience developing data pipelines on Databricks, integrating data from multiple sources, and working closely with analytics, data science, and business teams to deliver reliable, high-quality data products
• Knowledge of data ingestion techniques and data integration best practices
• Excellent verbal and written communication skills in English
• Bachelor’s degree, ideally in Computer Science, Information Technology, or a related discipline
• No visa sponsorship available
• Nice to have Experience collaborating with international clients or counterparts, ideally including working with global teams