Technical Consultant - Python & Kafka
Fujitsu
Location
🇮🇳 Pimpri-Chinchwad, India
Type
full_time
Salary
Undisclosed
Posted
1w ago
Job Description
Job Location: Pune Location Flexibility: Multiple Locations in Country Req Id: 12060 Posting Start Date: 9/23/26 At Fujitsu, our purpose is to make the world more sustainable by building trust in society through innovation. Founded in Japan in 1935, Fujitsu has been a pioneer in technology and innovation for decades. Today, as a world-leading digital transformation partner, we are committed to transforming business and society in the digital age. With approximately 130,000 employees across over 50 countries, Fujitsu offers a broad range of products, services, and solutions. We collaborate with our customers to co-create solutions that drive enterprise-wide digitalization while actively working to address social issues and contribute to the United Nations Sustainable Development Goals (SDGs). Job Role: Technical Consultant - Python & Kafka Shift: UK Shift (2.00 PM to 10.00 PM IST) Work Mode: Hybrid Relevant Exp: 5+ Years
Job Description
Position Summary
Hands-on Senior Engineer responsible for enhancing an existing event-driven digital repository platform, with focus on Kafka reliability, Python services, structured logging, event lineage, reconciliation, and completion tracking. This is an implementation-focused role working within an established architecture.
Key Responsibilities
Develop and maintain Python services using Kafka, PostgreSQL, MongoDB, object storage, and REST APIs. Implement structured JSON logging, correlation, error context, and actionable diagnostics. Improve Kafka reliability including offsets, consumer groups, rebalancing, retries, DLQs, and message-loss investigation. Implement event tracking, lineage, reconciliation, and workflow completion verification. Build observability using OpenTelemetry and contribute to OpenLineage/Marquez implementation. Apply event-driven patterns including idempotency, delivery semantics, and failure recovery. Write automated tests and support deployments in Kubernetes, Kustomize, and ArgoCD. Troubleshoot distributed processing issues across services, messaging, databases, and external systems. Must Have Python – Advanced production development; concurrency/threading; testing and maintainable code. Apache Kafka – Producers/consumers, offsets, consumer groups, rebalancing, retries, DLQ, delivery semantics. PostgreSQL – Strong SQL and JSON/JSONB capabilities; operational/event data. Structured Logging & Observability – JSON logging standards, correlation, severity, diagnostics, distributed-system observability.