Senior Data Platform Engineer

API Holdings; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

API Holdings is seeking a Senior Software Engineer (SSE) with 4-10 years of experience to design and develop scalable backend systems using Java. This role involves building and optimizing data pipelines with Big Data technologies, such as Spark and Kafka. The ideal candidate must possess strong skills in algorithms and system design, with exposure to GenAI being a plus. Candidates will collaborate with cross-functional teams and mentor junior engineers in a fast-paced environment.

Qualifications

• 4-10 years of experience in software engineering, focusing on Java and Big Data.
• Strong proficiency in Java with hands-on experience in developing scalable backend systems.
• Solid foundation in algorithms and system design.

Responsibilities

• Design and develop scalable backend systems using Java.
• Build and optimize data pipelines with Spark, Kafka, and Hive.
• Participate in system design discussions and contribute to architectural decisions.

Skills

Java

Big Data technologies

Algorithms

System design

REST APIs

Microservices architecture

GCP/AWS/Azure

Data modeling

Debugging

Performance optimization

Job description

Job Title: Senior Software Engineer (SSE) – Java & Big Data

Experience: 4-10 Years

About the Role

We are looking for a highly skilled Senior Software Engineer with strong expertise in Java and Big Data technologies. The ideal candidate should have a solid foundation in algorithms and system design, along with a passion for building scalable, high-performance data systems. Exposure to GenAI / Agentic AI is a plus.

Key Responsibilities

• Design, develop, and maintain scalable backend systems using Java.
• Build and optimize data pipelines using Big Data technologies such as Spark, Kafka, and Hive.
• Work on real-time and batch data processing systems.
• Apply strong problem-solving skills and algorithms to build efficient solutions.
• Participate in system design discussions and contribute to architecture decisions.
• Ensure high performance, reliability, and scalability of systems.
• Collaborate with cross-functional teams including Data Engineering, Analytics, and Product.
• Mentor junior engineers and drive engineering best practices.

Required Skills & Qualifications

• Strong proficiency in Java and backend development.
• Hands-on experience with Big Data technologies:
• Hive / Hadoop ecosystem
• Solid understanding of data structures and algorithms.
• Strong experience in system design (scalable, distributed systems).
• Experience with REST APIs, microservices architecture, and cloud platforms (GCP/AWS/Azure).
• Good understanding of data modeling and data pipelines.
• Strong debugging and performance optimization skills.

Good to Have

• Experience with Gen AI / LLMs / Agentic AI frameworks.
• Exposure to tools like Dify, LangChain, RAG pipelines, or vector databases.
• Experience in building AI-powered data platforms or automation systems.
• Knowledge of data governance, data quality frameworks, or streaming architectures.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced, agile environment.
• Ownership mindset and proactive attitude.