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Senior Data Engineer (GCP)

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Onsite

Senior Data Engineer (GCP)

EPAM Systems

Senior Data Engineer (GCP)

Skills

Google Cloud PlatformSQL QueriesPythonKafkaGitAWSKubernetesPySparkApache AirflowTerraform

1 month ago

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Important information


Contract type:

Permanent

Location:

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Work mode:

Onsite

Published on:

24 September 2026

What they need


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

We offer

  • 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

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