Senior Data Engineer (GCP)

About the Position

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 solutions
• 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

• Hybrid work arrangement in Malaysia
• Opportunity to work with cutting-edge technologies and cloud platforms
• Collaborative and dynamic work environment

About the Company

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