Java Full Stack Engineer - Professional
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Java Full Stack Engineer - Professional
Location
India
Experience
Senior
Posted
Jul 18, 2026
Apply by
July 31, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
Key Responsibilities • Design, develop, and maintain frontend applications using Angular • Build and enhance backend services using Python and Java • Develop and optimize Spark-based data processing pipelines • Implement and manage workflow orchestration using Apache Airflow • Design, develop, and consume RESTful APIs • Work with Kafka for real time and event driven messaging • Deploy, manage, and troubleshoot applications on Azure Kubernetes Service (AKS) • Integrate backend services with Oracle databases • Implement logging, monitoring, and troubleshooting using Splunk • Collaborate with cross functional teams including product, QA, DevOps, and data teams • Ensure code quality, performance, scalability, and security best practices • Participate in code reviews, design discussions, and production support activities Required Skills & Qualifications Technical Skills Mandatory : • Strong experience with Angular (frontend development) • Proficiency in Python and Java for backend services • Hands on experience with Apache Spark for large scale data computation • Years of experience : 6 yrs to 9 yrs. Good to have : • Experience with Apache Airflow for scheduling and orchestration • Solid understanding of REST API design and integration • Experience with Kafka or similar messaging/streaming platforms • Working knowledge of Oracle databases and SQL • Experience deploying and managing applications on AKS / Kubernetes • Familiarity with Splunk or similar logging and monitoring tools
Key Responsibilities
- Design, develop, and maintain frontend applications using Angular
- Build and enhance backend services using Python and Java
- Develop and optimize Spark-based data processing pipelines
- Implement and manage workflow orchestration using Apache Airflow
- Design, develop, and consume RESTful APIs
- Work with Kafka for real-time and event-driven messaging
- Deploy, manage, and troubleshoot applications on Azure Kubernetes Service
- Integrate backend services with Oracle databases
- Implement logging, monitoring, and troubleshooting using Splunk
- Collaborate with cross-functional teams including product, QA, DevOps, and data teams
- Ensure code quality, performance, scalability, and security best practices
- Participate in code reviews, design discussions, and production support activities
Skills Required
AngularPythonJavaApache SparkRESTful APIsAzure Kubernetes ServiceOracleSQLCollaborationCode review participationApache AirflowREST API designKafkaOracle databasesKubernetesSplunk
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