-Design and implement data pipelines using tools like Apache Flink, Dataflow, Dataproc, or Cloud Composer.

-Manage and optimize GCP services such as BigQuery, Cloud Storage, and Pub/Sub for data processing.

-Develop ETL processes to extract, transform, and load data from various sources into GCP data warehouses.

-Ensure data quality, consistency, and integrity through validation and monitoring.

-Collaborate with data scientists and analysts to provide clean and structured datasets.

-Implement data security measures, including encryption, IAM roles, and access controls.

-Automate data workflows to improve efficiency and reduce manual intervention.

-Monitor and troubleshoot data pipelines to ensure reliability and performance.

-Optimize query performance and storage costs in BigQuery and other GCP services.

-Document data engineering processes and mentor team members on GCP data tools and best practices.

-University Degree (or above) in Computer Science, Software Engineering, or a related discipline.

-Excellent written and spoken communication skills in English is a must

-Demonstrable 5 years above of commercial experience on developing software, application or solution for large-scale system with ideally either Java/Spring or Python. Both skill sets are highly desirable.

-Good experience in Cloud native technologies, include but not limited for those popular ones on GCP, AWS, Alicloud. Experience on GCP is desirable but not essentia

-Master SQL / BigQuery /Postgres and other relational databases. Good knowledge with Mongo/Clickhouse would be a big puls.

-Familiar with Apache Flink for real-time data processing and streaming applications.

-Efficient with batch and stream processing pipelines with Dataflow for scalable data transformations.

-Familiar with Dataproc to manage and run Hadoop/Spark jobs for big data processing would be a big puls.

-Deploy and orchestrate workflows using Apache Airflow or Cloud Composer for ETL automation.

-Containerize data processing applications with Docker for portability and consistency.

-Familiar with Kubernetes (K8s) to manage and scale containerized workloads in the cloud.

-Ensure clear communication and documentation in English to collaborate effectively with teams.

-Implement robust data security and governance practices across all GCP services.