Job Description:
- We are looking for a highly skilled Java Apache Spark Developer with 5-8 years of experience in building scalable high performance data processing and backend applications
- The ideal candidate should have strong hands-on expertise in Java Apache Spark distributed data processing and experience working in large-scale enterprises 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
Technical Skills
- 5-8 years of strong experience in Java Core Java Java 8 OOP concepts
- Handson experience with Apache Spark Spark Core Spark SQL DataFrames 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
- Mandatory Certification Karat Assessment
Skills
Mandatory Skills : Java
Good to Have Skills : Apache Spark Data Architecture SparkSQL
Job Description: We are looking for a highly skilled Java Apache Spark Developer with 5-8 years of experience in building scalable high performance data processing and backend applications The ideal candidate should have strong hands-on expertise in Java Apache Spark distributed data processing a...
Job Description:
- We are looking for a highly skilled Java Apache Spark Developer with 5-8 years of experience in building scalable high performance data processing and backend applications
- The ideal candidate should have strong hands-on expertise in Java Apache Spark distributed data processing and experience working in large-scale enterprises 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
Technical Skills
- 5-8 years of strong experience in Java Core Java Java 8 OOP concepts
- Handson experience with Apache Spark Spark Core Spark SQL DataFrames 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
- Mandatory Certification Karat Assessment
Skills
Mandatory Skills : Java
Good to Have Skills : Apache Spark Data Architecture SparkSQL
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