About the role
- Design, build, and optimize batch and streaming data pipelines for structured and unstructured data using Python, Kafka, and modern ELT/ETL frameworks.
- Implement data quality checks, monitoring, and alerting across pipelines.
- Support deployment and monitoring of analytical and ML models in production.
- Continuously improve data reliability, performance, and scalability through automation and system design improvements.
- Minimum 1 year of experience in Data Engineering or related roles..
- Strong proficiency in Python and SQL.
- Experience with cloud data warehouses (BigQuery, Snowflake, or similar) and NoSQL databases (MongoDB, DynamoDB, etc.).
- Ownership mindset and ability to work independently or cross-functionally.
- Good to have
- Knowledge of containerization and CI/CD (Docker, Kubernetes).
- Familiarity with streaming technologies (Kafka, Spark Streaming, or similar).
- Experience with data lineage, governance, and cataloging tools.
- Experience supporting data pipelines for analytics dashboards or ML model deployments.
- Work in a lean, focused team with high ownership and visibility across the organization.
- Work closely with founders and senior leadership on high-impact, end-to-end data projects.
- Get hands-on exposure to real-time data processing, large-scale analytics, and modern data stack technologies.
- Opportunity to define and scale the data systems that power India’s next-gen e-commerce stack.