Databricks Data Integration Lead

EPAM Systems

Kuala Lumpur

On-site

MYR 180,000 - 300,000

Full time

3 days ago
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Job summary

EPAM Systems is seeking an experienced Senior Data Integration Engineer focused on Databricks to lead enterprise data pipelines and analytics solutions. You will design and implement ETL/ELT processes, own end-to-end data ingestion and transformation on cloud platforms, and collaborate with analytics and business teams to deliver high-quality data products.

Responsibilities include mentoring junior engineers, integrating with Power BI, and documenting technical solutions while upholding

Qualifications

  • 5+ years of experience in Data Integration with Databricks
  • Strong SQL and Python proficiency; data modeling fundamentals
  • Experience with Delta Lake concepts and schema evolution
  • Cloud experience on Azure and AWS
  • Hands-on with building data pipelines and delivering reliable data products
  • Knowledge of data ingestion techniques and best practices
  • Orchestration experience (Databricks Workflows; Airflow is a plus)
  • Excellent English communication skills

Responsibilities

  • Develop, maintain and support ETL/ELT solutions
  • Implement and manage Databricks on Azure or AWS
  • Use SQL, PySpark or Scala to transform and analyze large datasets
  • Own end-to-end delivery of data ingestion and transformation pipelines on Databricks
  • Mentor junior engineers and collaborate with analytics teams
  • Work with Power BI to deliver insights
  • Create technical documentation and ensure best practices

Skills

Databricks
SQL
PySpark
Scala
Azure
AWS
ETL/ELT
Data Modeling
Data Integration
Mentoring
Communication

Education

Bachelor’s degree in Computer Science, Information Technology, or related discipline

Tools

Delta Lake
Databricks Workflows
ADF
Airflow
Power BI

Job description

EPAM Systems is seeking an experienced Senior Data Integration Engineer focused on Databricks to lead enterprise data pipelines and analytics solutions. You will design and implement ETL/ELT processes, own end-to-end data ingestion and transformation on cloud platforms, and collaborate with analytics and business teams to deliver high-quality data products.

Responsibilities include mentoring junior engineers, integrating with Power BI, and documenting technical solutions while upholding

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