Data Engineer (Quantexa)

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 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 Strong proficiency in 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 Hands-on experience with: Git (version control) Build and CI/CD tools (e.g., Gradle, Jenkins) Containers (Docker) Linux/Bash scripting

Testing & Quality Clear understanding of 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 onboarding. Exposure to performance tuning, data quality frameworks, or large-scale data migrations. Location India (Delivery roles aligned to global client projects)