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Job Requirements of Senior Java Developer:
-
Employment Type:
Full-Time
-
Location:
Bommasandra, Karnataka (Onsite)
Do you meet the requirements for this job?
Senior Java Developer
Bayone Solutions Inc
Bommasandra, Karnataka (Onsite)
Full-Time
Position Overview:
The ideal candidate will have a solid foundation in Java programming, with additional exposure to Scala and Python being a plus. This role requires an understanding of data modeling concepts (such as with UML), and experience with Terraform-based infrastructure deployment (such as in AWS). Familiarity with messaging systems such as Kafka and IBM MQ, streaming processing technologies such as Flink, Flume, Spark or Ray, and knowledge of Spring and Spring Boot frameworks, is important. Experience with caching systems, in-memory databases like RocksDB or ElastiCache, and distributed caching is beneficial. The role also involves working with distributed system design, as well as understanding synchronous and asynchronous messaging principles and design.
Key Responsibilities:
Develop and maintain Java applications, with a preference for Java versions 11, 17, and 21.
Utilize Scala and Python for specific project requirements as needed.
Design and implement data models using UML concepts.
Deploy and manage infrastructure using Terraform in AWS environments.
Work with messaging systems, including Kafka and IBM MQ, to ensure efficient data communication.
Implement solutions using Spring and Spring Boot frameworks.
Manage caching systems and in-memory databases, ensuring optimal performance.
Contribute to the design and development of distributed systems, leveraging technologies like Zookeeper and Kafka.
Apply synchronous and asynchronous messaging principles in system design.
Utilize serialization formats such as Protobuf, Avro, and FlatBuffer as applicable.
Work with data formats like Parquet and Iceberg, and understand data warehouse and lakehouse concepts.
Candidate Profile:
Strong fundamentals in Java programming, with exposure to Scala and Python as a bonus.
Fast learner with the ability to adapt to new technologies and methodologies.
Creative thinker, open to innovative solutions beyond conventional approaches.
Proactive and independent, capable of taking initiative and driving projects forward.
Strong communication skills, able to collaborate effectively with cross-functional teams.
Preferred Qualifications:
Experience with Java versions 11, 17, and 21.
Familiarity with Protobuf, Avro, and FlatBuffer serialization formats.
Understanding of Parquet and Iceberg table formats.
Knowledge of data warehouse and lakehouse concepts.
The ideal candidate will have a solid foundation in Java programming, with additional exposure to Scala and Python being a plus. This role requires an understanding of data modeling concepts (such as with UML), and experience with Terraform-based infrastructure deployment (such as in AWS). Familiarity with messaging systems such as Kafka and IBM MQ, streaming processing technologies such as Flink, Flume, Spark or Ray, and knowledge of Spring and Spring Boot frameworks, is important. Experience with caching systems, in-memory databases like RocksDB or ElastiCache, and distributed caching is beneficial. The role also involves working with distributed system design, as well as understanding synchronous and asynchronous messaging principles and design.
Key Responsibilities:
Develop and maintain Java applications, with a preference for Java versions 11, 17, and 21.
Utilize Scala and Python for specific project requirements as needed.
Design and implement data models using UML concepts.
Deploy and manage infrastructure using Terraform in AWS environments.
Work with messaging systems, including Kafka and IBM MQ, to ensure efficient data communication.
Implement solutions using Spring and Spring Boot frameworks.
Manage caching systems and in-memory databases, ensuring optimal performance.
Contribute to the design and development of distributed systems, leveraging technologies like Zookeeper and Kafka.
Apply synchronous and asynchronous messaging principles in system design.
Utilize serialization formats such as Protobuf, Avro, and FlatBuffer as applicable.
Work with data formats like Parquet and Iceberg, and understand data warehouse and lakehouse concepts.
Candidate Profile:
Strong fundamentals in Java programming, with exposure to Scala and Python as a bonus.
Fast learner with the ability to adapt to new technologies and methodologies.
Creative thinker, open to innovative solutions beyond conventional approaches.
Proactive and independent, capable of taking initiative and driving projects forward.
Strong communication skills, able to collaborate effectively with cross-functional teams.
Preferred Qualifications:
Experience with Java versions 11, 17, and 21.
Familiarity with Protobuf, Avro, and FlatBuffer serialization formats.
Understanding of Parquet and Iceberg table formats.
Knowledge of data warehouse and lakehouse concepts.
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