Data Engineer

Job Title: Data Engineer – Java & Kafka

Location: Bangalore, India

Job Type: Full-Time

Experience: 5+ Years

About the Role:

We are looking for a highly skilled Data Engineer with solid experience in Java and Apache Kafka to join our growing data team in Bangalore. As a key member of our engineering team, you will be responsible for building and optimizing our data pipeline architecture, as well as developing and maintaining data systems to enable scalable, real-time data processing.

Key Responsibilities:

Design, develop, and maintain scalable, high-performance data pipelines and streaming systems using Java and Apache Kafka.

Build and manage reliable data ingestion processes from diverse data sources.

Work closely with Data Scientists, Analysts, and other Engineers to integrate and optimize data workflows.

Implement data quality, monitoring, and alerting solutions.

Ensure robust data governance, security, and compliance standards.

Optimize data systems for performance, scalability, and cost efficiency.

Participate in code reviews, architecture discussions, and contribute to best practices.

Required Skills & Experience:

Minimum 5 years of experience in Data Engineering or related backend roles.

Strong programming experience with Java (mandatory).

Expertise in working with Apache Kafka for real-time streaming and event-driven architectures.

Proficiency in building ETL/ELT pipelines and handling large volumes of data.

Experience with data storage systems such as HDFS, Hive, HBase, Cassandra, or PostgreSQL.

Familiarity with cloud platforms (AWS/GCP/Azure) is a plus.

Good understanding of distributed systems, data partitioning, and scalability challenges.

Strong problem-solving skills and ability to work independently and in a team.

Preferred Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Experience with other streaming technologies like Apache Flink, Spark Streaming, or Kafka Streams is a plus.

Exposure to containerization tools like Docker and orchestration platforms like Kubernetes.