Java Developer

Required Experience & Technical Stack

• Strong expertise in Java for building scalable data pipelines and microservices, with additional proficiency in Python or Scala as needed for data processing use cases.
• Extensive experience with Java-based big data frameworks, including Apache Spark (Java APIs), Kafka (Java producers/consumers), and Airflow (orchestrated with Java back-end services).
• Strong knowledge of SQL and Java JDBC for querying structured data and integrating with relational databases
• Hands-on experience building microservices in Java, using frameworks such as Spring Boot and Micronaut, including RESTful APIs, service orchestration, and containerization.
• Proficient in Java-based DevOps practices, using tools like Jenkins (Java-based CI), Git, Docker, and Kubernetes to enable scalable CI/CD pipelines.
• In-depth expertise with big data tools, integrating Hive, HBase, and Parquet with Java-based data ingestion and processing solutions.
• Skilled in data transformation and performance tuning using Java multithreading, memory management, and distributed system design patterns.
• Familiarity with integrating Java-based microservices with Machine Learning pipelines, enabling real-time inference and batch processing workflows.
• Architected and scaled high-volume Java microservices, ensuring high availability, resilience, and throughput for enterprise-scale data platforms.
• Strong troubleshooting and debugging capabilities in Java, especially in distributed systems involving asynchronous messaging and parallel computation.
• Experience mentoring engineers in Java best practices, clean code, object-oriented design, and performance optimization for enterprise data solutions.
  

Candidate Should Be

• Requires 6+ years of professional experience is essential for understanding system architecture, programming, and technical troubleshooting.
• Outstanding written and verbal communication skills.
• Bachelors/Masters in computer science required