Data Integration Engineer (Python + Kafka + REST APIs) (Pune)

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) Solid 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 .