? Senior Java + Data Developer | Java | Apache Spark | Apache Kafka | ETL | Data Engineering | India

? We’re AgileEngine!

We’re hiring a Senior Java + Data Developer for a contract project focused on building scalable backend services, data-processing components, integrations, and enterprise applications.

This role is ideal for an experienced Java engineer with strong data engineering experience, particularly with Apache Spark and Apache Kafka.

? Remote / WFH — India / APAC

? Contract Role

? Experience: 4+ years

? U.S. Central Time (CST) coverage required — some overlap with IST expected, preferably availability until 11:00 a.m. CST

? CRUCIAL REQUIREMENTS — MUST HAVE

? Apache Spark — MUST HAVE

? Apache Kafka — MUST HAVE

Candidates without hands-on experience with BOTH Apache Spark and Apache Kafka should not apply.

✅ Must-Have Skills

- 4+ years of software engineering experience
- Strong Java development experience
- Hands-on Apache Spark experience — Mandatory
- Hands-on Apache Kafka experience — Mandatory
- Experience with data-oriented systems, ETL processes, or backend data services
- Experience with data ingestion and transformation
- Understanding of APIs and databases
- Understanding of distributed application design
- Backend and data services development experience
- Strong troubleshooting and debugging skills
- Experience working in Agile teams
- Strong analytical and problem-solving abilities
- Strong communication and collaboration skills
- Ability to quickly ramp up on existing systems
- Strong delivery focus across application and data engineering

? Key Responsibilities
- Develop and maintain Java-based services and data-processing components
- Build scalable solutions for data ingestion, transformation,



and system integration
- Develop and support data-processing solutions using Apache Spark
- Build and maintain event/data pipelines using Apache Kafka
- Collaborate with engineering and business stakeholders to deliver technical solutions
- Contribute to system design, implementation, testing, and production operations
- Improve performance, reliability, scalability, and maintainability of backend and data services
- Troubleshoot defects and production issues across application and data layers
- Contribute to code reviews, documentation, and engineering best practices

➕ Nice to Have
- Cloud platform experience
- CI/CD experience
- Data pipeline operations
- Experience supporting high-volume enterprise systems
- Production support experience
- Distributed data platform experience
- Up-to-date DevOps practices

? TOP PRIORITIES

? Apache Spark — MUST HAVE

? Apache Kafka — MUST HAVE

? Java

? ETL / Data Engineering

? Data Ingestion & Transformation

? Backend Development

? APIs & Databases

? Distributed Systems

? Interested candidates — DM me with:

1. Email ID

2. Total Experience

3. Java Experience
4. Apache Spark Experience — Years + Project Details
5. Apache Kafka Experience — Years + Project Details
6. ETL / Data Engineering Experience
7. Data Ingestion / Data Pipeline Experience

8. REST API Experience

9. Database Experience

10. Distributed Systems Experience

11. Cloud Experience

12. CI/CD Experience

13. Current CTC

14. Expected CTC

15. Notice Period

16. Current Location

? IMPORTANT: Apache Spark and Apache Kafka are mandatory requirements. Please apply only if you have hands-on experience with both. ? Please avoid LinkedIn Easy Apply. DM me directly with the above details.

📌 Java + Data Developer | Apache Spark | Apache Kafka | ETL | Data Engineering | Remote/WFH (Mumbai)
🏢 Remote_WFH_INDIA
📍 Mumbai