We are looking for a highly skilled Java Apache Spark Developer with 8 years of experience in building scalable high performance data processing and backend applications The ideal candidate should have strong handson expertise in Java Apache Spark distributed data processing and experience working in largescale enterprise or BFSI environments
Key Responsibilities:
Design develop and maintain scalable Java based applications and Spark data processing pipelines
Build and optimize batch and streaming data solutions using Apache Spark
Develop backend services using Java Core Java Java 8 and related frameworks
Work with large datasets and ensure high performance fault tolerance and scalability
Integrate Spark jobs with HDFS Hive Kafka relational and NoSQL databases
Optimize Spark jobs for performance memory and compute efficiency
Collaborate with cross-functional teams including Data Engineers QA DevOps and Product Owners
Follow coding standards best practices and secure development guidelines
Support production issues and perform root cause analysis
Participate in code reviews design discussions and Agile ceremonies
Required Skills Qualifications:
5-8 years of strong experience in Java Core Java Java 8 OOP concepts
Handson experience with Apache Spark Spark Core Spark SQL Data-Frames Datasets
Strong experience in distributed data processing and big data ecosystems
Proficiency in SQL and working with large datasets
Experience with HDFS Hive Kafka
Exposure to REST APIs and backend service development
Experience with LinuxUnix environments
Knowledge of version control tools like Git
We are looking for a highly skilled Java Apache Spark Developer with 8 years of experience in building scalable high performance data processing and backend applications The ideal candidate should have strong handson expertise in Java Apache Spark distributed data processing and experience working i...
We are looking for a highly skilled Java Apache Spark Developer with 8 years of experience in building scalable high performance data processing and backend applications The ideal candidate should have strong handson expertise in Java Apache Spark distributed data processing and experience working in largescale enterprise or BFSI environments
Key Responsibilities:
Design develop and maintain scalable Java based applications and Spark data processing pipelines
Build and optimize batch and streaming data solutions using Apache Spark
Develop backend services using Java Core Java Java 8 and related frameworks
Work with large datasets and ensure high performance fault tolerance and scalability
Integrate Spark jobs with HDFS Hive Kafka relational and NoSQL databases
Optimize Spark jobs for performance memory and compute efficiency
Collaborate with cross-functional teams including Data Engineers QA DevOps and Product Owners
Follow coding standards best practices and secure development guidelines
Support production issues and perform root cause analysis
Participate in code reviews design discussions and Agile ceremonies
Required Skills Qualifications:
5-8 years of strong experience in Java Core Java Java 8 OOP concepts
Handson experience with Apache Spark Spark Core Spark SQL Data-Frames Datasets
Strong experience in distributed data processing and big data ecosystems
Proficiency in SQL and working with large datasets
Experience with HDFS Hive Kafka
Exposure to REST APIs and backend service development
Experience with LinuxUnix environments
Knowledge of version control tools like Git
View more
View less