T&T | EAID | Engineering | Senior Consultant | Java Backend with Spark
Deloitte Consulting
naukri
05-01-2026
Pune
Top Skills:
Data ManagementMachine LearningUnit TestingAnalyticsSqlComputer ScienceBusiness IntelligenceAgileMavenMysqlAgileAmazon Web ServiceApache SparkBig DataBig Data TechnologyBuild ToolBusiness IntelligenceCi/cd PipelineCloudCode ReviewContainerizationData ManagementData ProcessingData SystemDistributed ComputingDockerGradleHadoopHiveJavaJava 8KafkaKubernetesMachine LearningMavenMicroservices ArchitectureMicrosoft AzureMongodbMysqlNosqlPerformance ManagementPipelineRestful ApisScalaSparkSqlUnit TestingVisualization
TT | EAID | Engineering | Senior Consultant | Java Backend with Spark | Pune
Location : Pune
Entity : Deloitte Touche Tohmatsu India LLP
Location : Pune
Entity : Deloitte Touche Tohmatsu India LLP
The team
Deloitte's Technology Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
Your work profile
- We are looking for a skilled Java + Spark Developer with experience in building scalable data processing applications.
- The ideal candidate should have strong expertise in Java development along with hands-on experience in big data technologies like Apache Spark.
- Develop and maintain scalable data processing pipelines using Apache Spark
- Write clean, efficient, and reusable code in Java
- Design and implement batch and real-time data processing solutions
- Work with distributed data systems like Hadoop and Hive
- Optimize Spark jobs for performance and scalability
- Collaborate with data engineers, analysts, and cross-functional teams
- Debug, troubleshoot, and enhance existing applications
- Ensure code quality through unit testing and code reviews
Key skills required:
- Exp: 6-9 years
- Strong experience in Java (Java 8 or above preferred)
- Hands-on experience with Apache Spark (Core, SQL, DataFrames, Streaming)
- Knowledge of big data ecosystem: Hadoop, Hive, Kafka
- Experience with RESTful APIs and microservices architecture
- Familiarity with databases (SQL/NoSQL like MySQL, MongoDB)
- Understanding of distributed computing concepts
- Experience with build tools like Maven/Gradle
Good to Have
- Experience with cloud platforms like Amazon Web Services or Microsoft Azure
- Knowledge of containerization tools like Docker and Kubernetes
- Exposure to CI/CD pipelines
- Experience with Scala (bonus)
Education:
- Bachelor s degree in computer science, Engineering, or related field
- 2-6 years of relevant experience (can be adjusted as per role)
Soft Skills
- Strong problem-solving skills
- Good communication and teamwork
- Ability to work in an agile environment
Location and Way of Working:
- Base location: Bengaluru, Pune, Chennai
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
T&T | EAID | Engineering | Senior Consultant | Java Backend with Spark
Deloitte Consulting
naukri
Pune
6-9 years Not Disclosed
Full time
01 May 2026
Top Skills:
Data ManagementMachine LearningUnit TestingAnalyticsSqlComputer ScienceBusiness IntelligenceAgileMavenMysqlAgileAmazon Web ServiceApache SparkBig DataBig Data TechnologyBuild ToolBusiness IntelligenceCi/cd PipelineCloudCode ReviewContainerizationData ManagementData ProcessingData SystemDistributed ComputingDockerGradleHadoopHiveJavaJava 8KafkaKubernetesMachine LearningMavenMicroservices ArchitectureMicrosoft AzureMongodbMysqlNosqlPerformance ManagementPipelineRestful ApisScalaSparkSqlUnit TestingVisualization
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Job Description
Download Resume TT | EAID | Engineering | Senior Consultant | Java Backend with Spark | Pune
Location : Pune
Entity : Deloitte Touche Tohmatsu India LLP
Location : Pune
Entity : Deloitte Touche Tohmatsu India LLP
The team
Deloitte's Technology Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
Your work profile
- We are looking for a skilled Java + Spark Developer with experience in building scalable data processing applications.
- The ideal candidate should have strong expertise in Java development along with hands-on experience in big data technologies like Apache Spark.
- Develop and maintain scalable data processing pipelines using Apache Spark
- Write clean, efficient, and reusable code in Java
- Design and implement batch and real-time data processing solutions
- Work with distributed data systems like Hadoop and Hive
- Optimize Spark jobs for performance and scalability
- Collaborate with data engineers, analysts, and cross-functional teams
- Debug, troubleshoot, and enhance existing applications
- Ensure code quality through unit testing and code reviews
Key skills required:
- Exp: 6-9 years
- Strong experience in Java (Java 8 or above preferred)
- Hands-on experience with Apache Spark (Core, SQL, DataFrames, Streaming)
- Knowledge of big data ecosystem: Hadoop, Hive, Kafka
- Experience with RESTful APIs and microservices architecture
- Familiarity with databases (SQL/NoSQL like MySQL, MongoDB)
- Understanding of distributed computing concepts
- Experience with build tools like Maven/Gradle
Good to Have
- Experience with cloud platforms like Amazon Web Services or Microsoft Azure
- Knowledge of containerization tools like Docker and Kubernetes
- Exposure to CI/CD pipelines
- Experience with Scala (bonus)
Education:
- Bachelor s degree in computer science, Engineering, or related field
- 2-6 years of relevant experience (can be adjusted as per role)
Soft Skills
- Strong problem-solving skills
- Good communication and teamwork
- Ability to work in an agile environment
Location and Way of Working:
- Base location: Bengaluru, Pune, Chennai
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.