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 effective 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

â Strong experience in Data Integration

â Hands-on expertise in Python (data pipelines & transformations)

â Strong experience with Kafka (mandatory)

â Strong knowledge of REST APIs

â Experience with event-driven architecture

â Strong understanding of distributed systems

Good to Hav

📌 Data Integration Engineer (Pune)
🏢 Talpro INdia
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