All open rolesEngineering
Data Engineer (Spark / Airflow)
Build reliable data pipelines and infrastructure that power analytics and AI systems for client teams.
Remote (India)Full-time2-6 years
What you'll do
- Design and maintain ETL/ELT pipelines using Spark and Airflow
- Build and optimize data warehouses and lakehouse architectures
- Ensure data quality, lineage, and monitoring across pipelines
- Partner with AI/ML engineers to prepare training and retrieval data
What we're looking for
- Production experience with Apache Spark and Airflow
- Strong SQL and Python skills
- Experience with cloud data platforms (AWS, GCP, or Azure)
- Understanding of data modeling and warehouse design
Nice to have
- · dbt experience
- · Kafka or streaming pipeline experience