[HIRING WEEK] Senior Data Integration Engineer (Databricks)

EPAM Systems Inc; Malaysia; On-site; MYR 120,000 - 240,000; Full time

Job summary

EPAM Systems Inc. is seeking an experienced Senior Data Integration Engineer focused on Databricks to lead the design of enterprise data platforms. You will own end-to-end data ingestion and transformation pipelines on Azure Databricks, collaborate with analytics teams, and mentor junior engineers.

The ideal candidate has 5+ years in data integration, strong SQL/Python, Delta Lake knowledge, and hands-on Databricks experience across Azure or AWS. Excellent English communication is required.

Qualifications

• 5+ years of experience in Data Integration with strong Databricks/ETL/ELT skills.
• Proficient in SQL and Python, data modeling (dimensional/Lakehouse).
• Experience with Delta Lake concepts, schema evolution, partitions.
• Familiar with cloud platforms (Azure, AWS).
• Hands-on data pipelines on Databricks and integrating data from multiple sources.

Responsibilities

• Develop, maintain and support ETL/ELT solutions.
• Implement and manage Databricks on Azure or AWS.
• Transform and analyze large datasets with SQL, PySpark or Scala.
• Own end-to-end delivery of data ingestion and transformation pipelines on Databricks.
• Collaborate with analytics and business teams to deliver reliable data products.
• Mentor junior engineers and contribute to documentation.

Skills

SQL

Python

Data modeling

Data integration

Communication

Education

Bachelor's degree in Computer Science/Information Technology

Tools

Databricks

Delta Lake

Azure

AWS

Databricks Workflows

ADF / Airflow

Job description

We are looking for an experienced Senior Data Integration Engineer specializing in Databricks to join our team. As a key member of the team, you will lead the design of enterprise digital products and platforms 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 on Microsoft Azure or AWS Cloud platforms
• Use SQL, PySpark or Scala to transform and analyze large datasets
• Own end-to-end delivery of data ingestion + transformation pipelines on Azure Databricks
• Works independently with minimal supervision
• Mentoring junior engineers
• 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

• At least 5 years of experience and strong experience in Data Integration, proficient in Databricks and ETL/ELT Solutions
• Strong SQL/Python, data modeling fundamentals (dimensional / Lakehouse modeling), incremental processing, 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
• Orchestration experience (Databricks Workflows; ADF/Airflow is a plus)
• Excellent verbal and written communication skills in English
• Nice to have Bachelor's degree, ideally in Computer Science, Information Technology, or a related discipline