Senior Data Engineer (GCP)
✨ AI Summary
EPAM Systems, a global IT services company recognized as one of the most loved workplaces, is hiring a Senior Data Engineer (GCP) in Malaysia. You will build ETL/ELT pipelines, optimize SQL, and orchestrate workflows using Python, BigQuery, Apache Airflow, and cloud services on GCP/AWS. Requires hands-on experience with data warehousing, advanced SQL, Python, PySpark/Beam, and cloud data workloads; nice-to-haves include Terraform, Kubernetes, Kafka, and Fivetran. Perks include a supportive environment, transparent career path, and extensive self-development opportunities.
We are seeking a Senior Data Engineer (Google Cloud Platform). You will build reliable ETL and ELT pipelines, optimize SQL and orchestration in Apache Airflow and help teams turn raw data into trusted, ready-to-use datasets. You will partner with clients and delivery teams to improve quality, performance and operational stability across cloud data platforms.
Responsibilities
- Design and build scalable ETL and ELT pipelines using Python, SQL,Big Query 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 Amazon Web Services (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
Requirements
- 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 or Amazon Web Services (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
Nice to have
- Infrastructure-as-code exposure using Terraform and or Kubernetes
- Streaming familiarity with Kafka and event-driven patterns
- Data integration tooling experience such as Fivetran
Benefits
By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023.
Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters
You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices
We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us
About the Company
More jobs at EPAM Systems
-
Lead Data DevOps
Mexico, Colombia · remote · Aug 20, 2026
-
Senior Security & Test Engineer, A2A
Armenia, Georgia, Kazakhstan, Kyrgyzstan, Uzbekistan · remote · Aug 20, 2026
-
Senior Data DevOps
Mexico, Colombia · remote · Aug 20, 2026
-
Senior Machine Learning Engineer
Viet Nam · remote · Aug 19, 2026
-
Senior Full Stack Java Engineer (TypeScript)
Viet Nam · remote · Aug 19, 2026