Senior Data Engineer (GCP) — ETL/ELT & Airflow Automation

EPAM Systems; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Benefits offered by this job

Transparent career path

Individual roadmap

Online courses

Mentoring programs

Certification support

Global collaboration

Job summary

EPAM Systems in Kuala Lumpur, Malaysia, is seeking a Senior Data Engineer specialized in Google Cloud Platform to design and build scalable ETL/ELT pipelines. You will optimize SQL, orchestrate Airflow workflows, and support data warehousing and cloud data platforms for clients and delivery teams.

You will collaborate with cross-functional teams to clarify requirements, improve performance, and ensure robust, scalable data solutions across GCP and AWS.

Qualifications

• Hands-on experience building ETL and ELT pipelines and supporting data warehousing.

Responsibilities

• Design and build scalable ETL and ELT pipelines using Python, SQL, BigQuery and cloud-native services.
• Develop and optimize complex SQL for transformation, validation, troubleshooting and performance.
• Create and maintain data models and warehousing solutions that support quality, availability and scale.
• Orchestrate workflows in Apache Airflow, including scheduling, monitoring and incident resolution.
• Support pipeline delivery and platform operations across Google Cloud Platform and AWS.
• Improve CI/CD, source control and automated deployment practices for data solution.
• Investigate data, integration and infrastructure issues, driving root-cause analysis and fixes.
• Collaborate with clients and cross-functional teams to clarify requirements, risks, dependencies and delivery plans.

Skills

ETL/ELT pipelines

SQL optimization

Python

PySpark/Apache Beam

GCP/AWS

Airflow/Cloud Composer

Data modeling

Communication

Tools

Airflow

Cloud Composer

Terraform

Job description

EPAM Systems in Kuala Lumpur, Malaysia, is seeking a Senior Data Engineer specialized in Google Cloud Platform to design and build scalable ETL/ELT pipelines. You will optimize SQL, orchestrate Airflow workflows, and support data warehousing and cloud data platforms for clients and delivery teams.

You will collaborate with cross-functional teams to clarify requirements, improve performance, and ensure robust, scalable data solutions across GCP and AWS.