Java Big Data Engineer | Bangalore | Hyderabad | 6 to 9 Years
Capgemini
Java Big Data Engineer | Bangalore | Hyderabad | 6 to 9 Years
Job Description
Java Big Data Engineer | Bangalore | Hyderabad | 6 to 9 Years
📋 Job Overview
The Java Big Data Engineer role at Capgemini involves designing, developing, and testing components for the Trade Open Platform (TOP) using Spark, Java, Hive, and big data technologies in a data lake architecture. The position requires contributing to new features and REST APIs in Azure public cloud, ensuring optimal performance, and following Agile@Scale processes with CI/CD practices. Candidates will also organize training sessions to keep stakeholders updated on platform evolution.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: FS
🎯 Key Responsibilities
- Design, development and testing of components/modules in TOP (Trade Open Platform) involving Spark, Java, Hive and related big-data technologies in a data lake architecture
- Contribute to the design, development and deployment of new features and new components in Azure public cloud
- Contribute to the evolution of REST APIs in TOP – enhancement, development and testing of new APIs
- Ensure the processes in TOP provide optimal performance and assist in performance tuning and optimization
- Release & Deployment – Deploy using CD/CI practices and tools in various environments – development, UAT and production and follow production processes. Ensure Craftsmanship practices are followed
- Follow Agile@Scale process in terms of participation in PI Planning and follow-up, Sprint planning, Back-log maintenance in Jira
- Organize training sessions on the core platform and related technologies for the Tribe/Business line to ensure the platform evolution is continuously updated to relevant stakeholders
✅ Required Qualifications
- Around 4-6 years of experience in IT industry
- Preferably banking domain experience
- Expertise in Java 1.8 including building APIs, Java threads, collections, streaming, dependency injection/inversion
- Expertise in JUnit
- Expertise in Big Data technologies including Spark, Oozie, Hive
- Expertise in Azure including AKS, CLI, Event, Key Vault
- Part of digital transformation initiatives
- Knowledge of Unix
- Knowledge of SQL/RDBMS
- Knowledge of Monitoring
🛠️ Required Skills
- Java 1.8
- Building APIs
- Java threads
- Collections
- Streaming
- Dependency injection/inversion
- JUnit
- Spark
- Oozie
- Hive
- Big Data Technologies
- Azure
- AKS
- CLI
- Event
- Key Vault
- REST APIs
- Unix
- SQL
- RDBMS
- Monitoring
- CI/CD
- Agile@Scale
- PI Planning
- Sprint planning
- Jira
- Cloud Infrastructure
- API Development
- Data lake architecture
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Java 1.8intermediate
- Building APIsintermediate
- Java threadsintermediate
- Collectionsintermediate
- Streamingintermediate
- Dependency injection/inversionintermediate
- JUnitintermediate
- Sparkintermediate
- Oozieintermediate
- Hiveintermediate
- Big Data Technologiesintermediate
- Azureintermediate
- AKSintermediate
- CLIintermediate
- Eventintermediate
- Key Vaultintermediate
- REST APIsintermediate
- Unixintermediate
- SQLintermediate
- RDBMSintermediate
- Monitoringintermediate
- CI/CDintermediate
- Agile@Scaleintermediate
- PI Planningintermediate
- Sprint planningintermediate
- Jiraintermediate
- Cloud Infrastructureintermediate
- API Developmentintermediate
- Data lake architectureintermediate
Required Qualifications
- Around 4-6 years of experience in IT industry (experience)
- Preferably banking domain experience (experience)
- Expertise in Java 1.8 including building APIs, Java threads, collections, streaming, dependency injection/inversion (experience)
- Expertise in JUnit (experience)
- Expertise in Big Data technologies including Spark, Oozie, Hive (experience)
- Expertise in Azure including AKS, CLI, Event, Key Vault (experience)
- Part of digital transformation initiatives (experience)
- Knowledge of Unix (experience)
- Knowledge of SQL/RDBMS (experience)
- Knowledge of Monitoring (experience)
Responsibilities
- Design, development and testing of components/modules in TOP (Trade Open Platform) involving Spark, Java, Hive and related big-data technologies in a data lake architecture
- Contribute to the design, development and deployment of new features and new components in Azure public cloud
- Contribute to the evolution of REST APIs in TOP – enhancement, development and testing of new APIs
- Ensure the processes in TOP provide optimal performance and assist in performance tuning and optimization
- Release & Deployment – Deploy using CD/CI practices and tools in various environments – development, UAT and production and follow production processes. Ensure Craftsmanship practices are followed
- Follow Agile@Scale process in terms of participation in PI Planning and follow-up, Sprint planning, Back-log maintenance in Jira
- Organize training sessions on the core platform and related technologies for the Tribe/Business line to ensure the platform evolution is continuously updated to relevant stakeholders
Tags & Categories
Answer 10 quick questions to check your fit for Java Big Data Engineer | Bangalore | Hyderabad | 6 to 9 Years @ Capgemini.
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Java Big Data Engineer | Bangalore | Hyderabad | 6 to 9 Years
Capgemini
Java Big Data Engineer | Bangalore | Hyderabad | 6 to 9 Years
Job Description
Java Big Data Engineer | Bangalore | Hyderabad | 6 to 9 Years
📋 Job Overview
The Java Big Data Engineer role at Capgemini involves designing, developing, and testing components for the Trade Open Platform (TOP) using Spark, Java, Hive, and big data technologies in a data lake architecture. The position requires contributing to new features and REST APIs in Azure public cloud, ensuring optimal performance, and following Agile@Scale processes with CI/CD practices. Candidates will also organize training sessions to keep stakeholders updated on platform evolution.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: FS
🎯 Key Responsibilities
- Design, development and testing of components/modules in TOP (Trade Open Platform) involving Spark, Java, Hive and related big-data technologies in a data lake architecture
- Contribute to the design, development and deployment of new features and new components in Azure public cloud
- Contribute to the evolution of REST APIs in TOP – enhancement, development and testing of new APIs
- Ensure the processes in TOP provide optimal performance and assist in performance tuning and optimization
- Release & Deployment – Deploy using CD/CI practices and tools in various environments – development, UAT and production and follow production processes. Ensure Craftsmanship practices are followed
- Follow Agile@Scale process in terms of participation in PI Planning and follow-up, Sprint planning, Back-log maintenance in Jira
- Organize training sessions on the core platform and related technologies for the Tribe/Business line to ensure the platform evolution is continuously updated to relevant stakeholders
✅ Required Qualifications
- Around 4-6 years of experience in IT industry
- Preferably banking domain experience
- Expertise in Java 1.8 including building APIs, Java threads, collections, streaming, dependency injection/inversion
- Expertise in JUnit
- Expertise in Big Data technologies including Spark, Oozie, Hive
- Expertise in Azure including AKS, CLI, Event, Key Vault
- Part of digital transformation initiatives
- Knowledge of Unix
- Knowledge of SQL/RDBMS
- Knowledge of Monitoring
🛠️ Required Skills
- Java 1.8
- Building APIs
- Java threads
- Collections
- Streaming
- Dependency injection/inversion
- JUnit
- Spark
- Oozie
- Hive
- Big Data Technologies
- Azure
- AKS
- CLI
- Event
- Key Vault
- REST APIs
- Unix
- SQL
- RDBMS
- Monitoring
- CI/CD
- Agile@Scale
- PI Planning
- Sprint planning
- Jira
- Cloud Infrastructure
- API Development
- Data lake architecture
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Java 1.8intermediate
- Building APIsintermediate
- Java threadsintermediate
- Collectionsintermediate
- Streamingintermediate
- Dependency injection/inversionintermediate
- JUnitintermediate
- Sparkintermediate
- Oozieintermediate
- Hiveintermediate
- Big Data Technologiesintermediate
- Azureintermediate
- AKSintermediate
- CLIintermediate
- Eventintermediate
- Key Vaultintermediate
- REST APIsintermediate
- Unixintermediate
- SQLintermediate
- RDBMSintermediate
- Monitoringintermediate
- CI/CDintermediate
- Agile@Scaleintermediate
- PI Planningintermediate
- Sprint planningintermediate
- Jiraintermediate
- Cloud Infrastructureintermediate
- API Developmentintermediate
- Data lake architectureintermediate
Required Qualifications
- Around 4-6 years of experience in IT industry (experience)
- Preferably banking domain experience (experience)
- Expertise in Java 1.8 including building APIs, Java threads, collections, streaming, dependency injection/inversion (experience)
- Expertise in JUnit (experience)
- Expertise in Big Data technologies including Spark, Oozie, Hive (experience)
- Expertise in Azure including AKS, CLI, Event, Key Vault (experience)
- Part of digital transformation initiatives (experience)
- Knowledge of Unix (experience)
- Knowledge of SQL/RDBMS (experience)
- Knowledge of Monitoring (experience)
Responsibilities
- Design, development and testing of components/modules in TOP (Trade Open Platform) involving Spark, Java, Hive and related big-data technologies in a data lake architecture
- Contribute to the design, development and deployment of new features and new components in Azure public cloud
- Contribute to the evolution of REST APIs in TOP – enhancement, development and testing of new APIs
- Ensure the processes in TOP provide optimal performance and assist in performance tuning and optimization
- Release & Deployment – Deploy using CD/CI practices and tools in various environments – development, UAT and production and follow production processes. Ensure Craftsmanship practices are followed
- Follow Agile@Scale process in terms of participation in PI Planning and follow-up, Sprint planning, Back-log maintenance in Jira
- Organize training sessions on the core platform and related technologies for the Tribe/Business line to ensure the platform evolution is continuously updated to relevant stakeholders
Tags & Categories
Answer 10 quick questions to check your fit for Java Big Data Engineer | Bangalore | Hyderabad | 6 to 9 Years @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs