Job Title : Data Engineer Java | Kafka | Spark

Experience : 5 to 7 Years

Location : [Customizable e.g., Pune / Bangalore / Hyderabad / Chennai / Gurugram / Jaipur]

Job Type : Full-time

Work Mode : Hybrid / Onsite / Remote (based on company policy)

Job Summary :

We are looking for a skilled Data Engineer with strong experience in Java, Apache Kafka, and Apache Spark to join our data engineering team. You will be responsible for building and maintaining scalable data pipelines and real-time streaming systems that power business insights and analytics.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines for batch and real-time data processing.

- Build and optimize ETL/ELT workflows using Apache Spark (batch/structured streaming).

- Implement and manage data ingestion frameworks using Apache Kafka and Kafka Connect.

- Write high-performance, maintainable Java code for data transformation, enrichment, and delivery.

- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver

end-to-end solutions.

- Ensure data quality, reliability, and performance in distributed systems.

- Maintain documentation for data flows, schemas, and pipelines.

- Monitor production jobs and troubleshoot issues in a timely manner.