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

✔ Robust 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