Note: The job is a remote job and is open to candidates in USA. FUSTIS LLC is seeking a GCP Data Engineer to design and build scalable ETL/ELT pipelines and maintain BigQuery data models. The role involves collaboration with AI developers and participation in data platform architecture decisions.
Responsibilities
- Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow
- Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries
- Build and maintain data pipelines feeding AI/ML feature stores and forecasting models
- Collaborate with AI Developers to ensure high-quality, low-latency data access for model training
- Manage and optimize Cloud Composer DAGs and pipeline orchestration
- Implement data quality monitoring, alerting, and lineage tracking
- Participate in data platform architecture decisions and documentation
Skills
- 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience
- Hands-on experience with Apache Airflow for pipeline orchestration
- Proficiency in Apache Spark for large-scale data processing
- Strong SQL skills including complex query optimization and BigQuery-specific capabilities
- Experience with GCP data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow
- Solid understanding of ETL/ELT patterns and data warehousing principles
- GCP Professional Data Engineer certification
- Experience supporting ML/AI data infrastructure (feature engineering, training datasets)
- Familiarity with real-time streaming (Kafka, Dataflow/Flink)
- Retail or large-scale consumer data experience
Company Overview