Why This Role Matters
As a Quantexa Certified Data Engineer, you will sit at the core of complex, high-impact delivery programmes for global clients across financial crime, fraud, risk, and customer intelligence.
Your work will directly influence how large-scale data is ingested, modelled, engineered, and operationalised on the Quantexa platform in production environments.
This is a hands-on engineering role for practitioners who have already worked on real data pipelines and want to operate at enterprise scale.
What You Will Do
1. Build & Operate Production-Grade Data Pipelines
Design, engineer, and maintain robust batch and streaming data pipelines for high-volume, high-velocity data.
Ensure pipelines are fault-tolerant, performant, and production-ready.
2. Implement Quantexa Platform Solutions
Configure and deploy Quantexa solutions in client environments.
Work with distributed data processing frameworks (Spark, Hadoop) and search/indexing technologies (e.g., Elasticsearch) as part of Quantexa deployments.
Support data ingestion, transformation,



and enrichment aligned to Quantexa data models.
3. Cloud-Native Delivery
Deploy and operate data workloads on one or more cloud platforms: AWS, Azure, or GCP.
Contribute to infrastructure and setting setup in collaboration with DevOps / platform teams.
4. Engineering Excellence
Write clean, defensive, maintainable code suitable for enterprise production environments.
Apply engineering best practices for logging, error handling, performance optimisation, and monitoring.
5. Client-Facing Technical Delivery
Work closely with Solution Architects, Delivery Leads, and client engineering teams.
Translate technical design into executable data engineering solutions.
Support technical discussions with client-side engineers and data teams.
6. Collaboration & Knowledge Sharing
Contribute to internal standards, reusable patterns, and documentation.
Share learnings and best practices within delivery teams.
What You Must Bring (Non-

📌 Data Engineer (Mumbai)
🏢 NextWave Consulting
📍 Mumbai