Job Overview
            
                
                
                
                    Category
                    Computer Occupations
                 
                
             
            
            
         
        
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            Job Description
            
                Job Description:
We are seeking a highly skilled  Full Stack Big Data Engineer  to join our team.
The ideal candidate will have strong expertise in big data technologies, cloud platforms, microservices, and system design, with the ability to build scalable and efficient data-driven applications.
This role requires hands-on experience across data engineering, backend development, and cloud deployment, along with a strong foundation in modern DevOps and monitoring practices.
Key Responsibilities:
Design, build, and optimize  big data pipelines  using Scala, PySpark, Spark SQL, Spark Streaming, and Databricks.
Develop and maintain  real-time data processing  solutions using Kafka Streams or similar event-driven platforms.
Implement  cloud-based solutions  on Azure, leveraging services such as Azure Data Factory (ADF) and Azure Functions.
Build scalable  microservices  with Core Java (8+) and Spring Boot.
Collaborate on  system design , including API development and event-driven architecture.
Contribute to  front-end development  (JavaScript, React) as needed.
Ensure application reliability through  monitoring tools  such as Grafana, New Relic, or similar.
Utilize modern  CI/CD tools  (Git, Jenkins, Kubernetes, ArgoCD, etc.) for deployment and version control.
Work cross-functionally with data engineers, software developers, and architects to deliver high-quality solutions.
Qualifications:
5+ years of professional experience as a Software/Data Engineer or Full Stack Engineer.
Strong programming skills in  Scala, Python, and Java .
Experience with  Databricks, Spark SQL, Spark Streaming , and  PySpark .
Hands-on experience with  Azure cloud services  and data engineering tools.
Solid knowledge of  microservices development  with Spring Boot.
Familiarity with  event-driven platforms  such as Kafka.
Experience with  CI/CD pipelines  and containerization/orchestration tools.
Strong problem-solving and communication skills.
Bachelor’s or master’s degree in computer science, Engineering, or a related field (preferred).
Nice to Have:
Experience with  API design  and  event-driven architecture .
Frontend development experience with  React and JavaScript .
            
         
  
  
  
        
        
        
        
        
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