Locations: Gurgaon / Mumbai

Experience: 5+ Years

Notice Period: Immediate Joiners Only

Job Summary

We are looking for an experienced Java Data Engineer with strong expertise in Java development, data engineering, distributed systems, and large-scale data processing.

Key Responsibilities

- Develop and maintain scalable data pipelines using Java and Spring Boot.
- Build and optimize data processing solutions using Apache Spark.
- Design and implement ETL/ELT workflows.
- Work with Apache Kafka for real-time data streaming.
- Develop REST APIs and microservices for data integration.
- Write complex SQL queries and optimize database performance.
- Work on data warehousing, data modeling, and data transformation.
- Collaborate with cross-functional teams to deliver scalable data solutions.

Required Skills:




- Robust experience in Core Java and Spring Boot.
- Hands-on experience with Apache Spark / PySpark.
- Strong SQL and database concepts.
- Experience with Apache Kafka and data streaming.
- Good understanding of ETL/ELT pipelines.
- Experience in Microservices and REST APIs.
- Knowledge of Data Warehousing and Data Modeling.
- Exposure to AWS (S3, Glue, Redshift) or Azure/GCP.
- Experience with Git, CI/CD, Docker, and Kubernetes is preferred.

Interested candidates can share their updated CVs. Note: Immediate joiners with 5+ years of relevant Java Data Engineering experience preferred.

📌 Data Engineer (Java)- Gurgaon/Mumbai (Delhi)
🏢 Kezan consulting
📍 Delhi