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 or more cloud platforms:
AWS, Azure, or GCP
.
- Contribute to infrastructure and environment 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-Negotiable)
Quantexa Certification – Mandatory
- Candidates must hold an active Quantexa certification relevant to data engineering or platform delivery.
Experience
- 2–4 years of hands-on experience in
data engineering or backend/software engineering
roles.
- Proven experience building and operating data pipelines in production environments.
Programming
Scala, Java, or Python
(Scala preferred in Quantexa delivery environments).
- Solid understanding of software engineering fundamentals beyond just scripting.
Big Data & Distributed Systems
- Practical experience with
Apache Spark
and distributed data processing concepts.
- Understanding of data ingestion, transformation, and large-scale data processing patterns.
DevOps & Engineering Tooling
Testing & Quality
unit vs integration testing
.
- Experience using testing frameworks (e.g., ScalaTest or equivalent).
Professional Communication
- Ability to work in client delivery environments and communicate technical concepts clearly to both technical and non-technical stakeholders.
Good to Have (Value Add, Not Mandatory)
- Prior experience working in domains such as
financial services, risk, compliance, fraud, or AML
.
- Experience mentoring junior engineers or contributing to team.
- Exposure to performance tuning, data quality frameworks, or large-scale data migrations.
Location
India (Delivery roles aligned to global client projects)
