Job descriptionJob Description
Senior Software Engineer – Core Java, Apache Spark, Python, Big Data, SQL
Job Description – Core Java, Apache Spark, Python
We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to design, develop, and support scalable server-side applications and analytical data processing systems. The ideal candidate will have hands-on experience in building high-performance applications, integrating analytical platforms, and working with large-scale data processing frameworks.
Key Responsibilities
• Design, develop, test, and maintain high-performance, scalable server-side applications using Core Java and Python
• Build and optimize large-scale data processing solutions using Apache Spark
• Develop and maintain database solutions, write complex SQL queries, and optimize database performance
• Design and integrate analytical systems to process and analyze large volumes of structured and unstructured data
• Collaborate with cross-functional teams including business analysts, architects, data engineers, and QA teams to deliver robust solutions
• Troubleshoot, debug, and resolve application and system performance issues
• Work in Linux environments for application deployment, monitoring, and support activities
• Participate in application architecture discussions and contribute to technical design decisions
• Ensure adherence to coding standards, security guidelines, and software development best practices
• Support CI/CD processes and application lifecycle management
Required Skills & Qualifications
• Senior years of hands-on experience in software development and analytical system integration
• Strong programming expertise in Core Java
• Hands-on experience with Apache Spark for distributed data processing
• Strong development experience in Python
• Proficiency in SQL and relational databases
• Strong working knowledge of Linux/Unix operating systems
• Experience in application/server-side development and microservices-based architectures
• Experience designing, building, and integrating analytical and data processing systems
• Strong understanding of data structures, algorithms, object-oriented design principles, and multithreading
• Experience with RESTful APIs and system integration
• Excellent problem-solving and debugging skills
Preferred Qualifications
• Experience with cloud platforms such as AWS, Azure, or GCP
• Knowledge of Hadoop ecosystem technologies
• Experience with containerization technologies such as Docker and Kubernetes
• Familiarity with CI/CD tools and DevOps practices
• Experience working in Agile/Scrum environments
Key Competencies
• Strong analytical and problem-solving skills
• Ability to work independently and collaboratively in a fast-paced environment
• Excellent communication and stakeholder management skills
• Commitment to delivering high-quality, scalable, and maintainable solutions
• Nice to Have: Financial Services / Capital Markets domain experience
Requirements
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