Description :

Role Purpose :

Join our dynamic team to design scalable data pipelines, model decision-grade data, and deliver actionable business insights for top financial clients banks, NBFCs, lenders, and fintechs.

Key Responsibilities :

- Build and optimize ETL/ELT pipelines using PySpark/Python.

- Design and manage data lakehouse stacks on AWS (S3, Glue, Iceberg, Redshift, Postgres).

- Develop data ingestion from product, CRM, and financial systems.

- Support analytical onboarding, training, and customer success initiatives.

- Ensure compliant data usage in regulated environments.

Required Skills :

- Strong knowledge of SQL, data modeling, and Python (pandas/NumPy).

- Experience with AWS, Redshift, and Power BI/Tableau/Metabase.

- Exposure to financial data handling (PII, SOC 2, GDPR).

Nice to Have :

- Familiarity with dbt, Airflow, Terraform, Kafka/Kinesis, or reverse ETL.

- Understanding of lending lifecycle or AI/agent workflows.

Why Join Us :

- Work on high-impact, AI-powered products.

- Learn and grow in a collaborative engineering culture.

- 5-day Work from Office (Chandigarh/Panchkula).

- Employee-friendly policies and clear career growth.