- 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 were looking for
- Production experience with Apache Spark and Airflow
- Solid 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
Ready to apply
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📌 Data Engineer (Spark / Airflow) (India)
🏢 Workforce Next
📍 India
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