Were looking for a
skilled Data Engineer to join our team and take ownership of our data platform built on Google Cloud Platform (GCP). Youll play a key role in building robust data infrastructure, enabling data governance, supporting machine learning operations, and ensuring cost-effective, high-quality data pipelines.
What Youll Do
- Design, build, and maintain a scalable, global-standard data warehouse on GCP.
- Create clean, well-structured data marts to support business users and dashboards.
- Build and maintain ETL pipeline using Airflow or equivalent tools to ensure timely and high-quality data.
- Implement and manage data governance tools and services (data catalog, quality, user access control, PII encryption mechanism, etc)
- Administer GCP infrastructure, enabling and optimizing services for the data platform.
- Monitor, manage and optimize GCP / data platform costs to ensure efficiency.
- Implement MLOps best practices, from feature engineering to deployment, monitoring, and retraining.
What Were Looking For
- 5+ years of experience as Data Engineer with strong proficiency in GCP data tools (BigQuery, Dataflow, Composer, etc.).
- Solid understanding of data warehousing principles, dimensional modelling, and ETL processes.
- Familiarity with DevOps practices and CI/CD tools for cloud environments.
- Experience in implementing data governance frameworks and tools.
- Familiarity with infrastructure management and cost optimization on GCP.
- Hands-on experience with MLOps practices, workflows and machine learning model lifecycle on GCP.
- Excellent problem-solving skills and attention to detail.
- Strong collaboration skills with both technical and business stakeholders.
