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