Job Description:

About the Role

Rapaport is looking for an experienced Data Engineer to join our growing data team. This role is for someone who takes real ownership, delivers reliably, and can independently drive projects from design through production.

We care as much about execution and accountability as technical ability. The right candidate is proactive, highly available, responsive under pressure, and committed to delivering high-quality systems on time.

Responsibilities
Design, build, and maintain scalable data pipelines and ETL workflows
Own data infrastructure and ensure reliability, monitoring, and performance
Develop and maintain orchestration workflows using Airflow
Write clean, efficient, production-grade Python code
Design and optimize PostgreSQL databases, queries, and schemas
Improve data quality, observability, and operational stability
Work closely with product, analytics, and engineering teams
Troubleshoot production issues and take responsibility for end-to-end resolution
Continuously improve architecture, scalability,



and deployment processes

Requirements
At least 5+ years of experience as a Data Engineer or similar role
Robust ownership mentality and high sense of responsibility
Proven ability to deliver reliably and meet deadlines
High-level proficiency in Python
Strong SQL expertise, preferably PostgreSQL
Deep understanding of:
Database design
Query optimization
Performance tuning
Data modeling
Robust debugging and problem-solving skills
Ability to work independently with minimal supervision

Nice to Have
Experience with Apache Airflow
Experience with cloud platforms (AWS/GCP/Azure)
Experience building and maintaining production data pipelines

About Rapaport: Rapaport is an international network of companies providing added value services that support the development of fair, transparent, competitive and effective diamond and jewelry markets. Established in 1976, the Group has more than 20

📌 Data Engineer Mumbai
🏢 Kaapro Management Solutions
📍 Mumbai