Data Integration Engineer (Python + Kafka + REST APIs)

Data Integration Engineer (Python + Kafka + REST APIs) Role Details Experience: 5+ Years Location: Pune / Bangalore Work Mode: Hybrid Shift: UK Hours Contract Duration: 6 Months Budget: INR 2 LPM Joining: Immediate Joiners Only Role Overview We are seeking a Data Integration Engineer with strong hands-on expertise in Python, Kafka, REST APIs, and data integration frameworks .

This role focuses on building scalable, event-driven data pipelines and integration solutions across enterprise systems. The ideal candidate should have experience in real-time data processing, API integrations, and distributed data systems .

Key Responsibilities

Data Integration & Architecture (Core Focus) Design and implement scalable data integration solutions across multiple systems. Build and maintain real-time and batch data pipelines . Develop event-driven architectures using Kafka . Ensure high performance, scalability, and reliability of data systems. Python & API Development Develop and maintain Python-based integration and transformation logic .

Build and consume REST APIs for system integrations. Implement data validation, transformation, and orchestration workflows. Data Engineering & Processing Work with structured and unstructured data across multiple sources. Design and optimize data models and data flows . Implement efficient data processing and transformation pipelines.

Delivery & Collaboration Collaborate with cross-functional teams for requirement gathering and solution delivery. Follow Agile SDLC practices . Maintain code using GIT and version control best practices . Ensure proper documentation of integration and data workflows. Mandatory Skills ✔ Strong experience in Data Integration ✔ Hands-on expertise in Python (data pipelines & transformations) ✔ Strong experience with Kafka (mandatory) ✔ Strong knowledge of REST APIs ✔ Experience with event-driven architecture ✔ Strong understanding of distributed systems Good to Have Experience with cloud platforms (AWS / Azure / GCP) Exposure to ETL tools and frameworks Experience with SQL and data modeling Soft Skills Strong problem-solving and analytical mindset Ability to work independently and in teams Good communication and stakeholder management