Senior Data Engineer - Cloud ETL, BigQuery & Airflow

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

Job summary

EPAM Systems Inc is seeking a Senior Data Engineer (Google Cloud Platform) to design, build and optimize ETL/ELT pipelines and data models for scalable data warehousing on GCP/AWS. You will enhance SQL performance, orchestrate workflows with Airflow, and drive pipeline reliability across cloud data platforms.

You will collaborate with clients and delivery teams, improve CI/CD practices, and investigate issues to provide robust, production-ready data solutions.

Qualifications

• Hands-on experience building ETL and ELT pipelines and supporting data warehousing.
• Advanced SQL skill set including optimization, data validation and complex transformation.
• Python proficiency for pipeline development and software engineering practices.
• Experience with distributed processing using PySpark or Apache Beam.
• Practical cloud experience with Google Cloud Platform and AWS for data workloads.
• Workflow orchestration background with Apache Airflow or Google Cloud Composer.
• Knowledge of data modeling, data lifecycle management and data quality controls.
• Clear communication with the ability to explain trade-offs, risks and solution options to stakeholders.

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

Airflow

Data modeling

CI/CD

Root-cause analysis

Tools

BigQuery

Google Cloud Composer

AWS

PySpark

Apache Beam

Terraform

Kubernetes

Job description

EPAM Systems Inc is seeking a Senior Data Engineer (Google Cloud Platform) to design, build and optimize ETL/ELT pipelines and data models for scalable data warehousing on GCP/AWS. You will enhance SQL performance, orchestrate workflows with Airflow, and drive pipeline reliability across cloud data platforms.

You will collaborate with clients and delivery teams, improve CI/CD practices, and investigate issues to provide robust, production-ready data solutions.