Big Data Application Developer

• Design, develop, and maintain scalable server-side and analytical applications using Core Java and Python.
• Build and optimize large-scale data processing pipelines using Apache Spark.
• Develop and enhance backend services, APIs, and application components.
• Design and implement efficient database solutions using SQL.
• Integrate multiple data sources and analytical platforms to support business requirements.
• Perform application performance tuning, troubleshooting, and optimization.
• Work in Linux environments for deployment, monitoring, and support activities.
• Collaborate with business stakeholders, architects, and development teams to deliver robust solutions.
• Ensure adherence to coding standards, security requirements, and best practices.
• Participate in code reviews, system design discussions, and technical mentoring. Required Technical Skills

We are seeking a highly skilled Data & Analytics Application Developer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux. The ideal candidate will have hands-on experience in designing, building, and integrating large-scale analytical systems, developing high-performance server-side applications, and implementing data processing solutions for enterprise environments. The role requires strong problem-solving abilities, application development expertise, and experience working with distributed data processing frameworks., * Strong programming experience in Core Java

• Hands-on expertise in Apache Spark

• Proficiency in Python

• Strong knowledge of SQL and Database Design

• Experience with Linux/Unix environments

• Application and Server-Side Development experience

• Experience designing, building, and integrating analytical systems

• Strong understanding of distributed computing and data processing concepts

• Experience with RESTful APIs and system integration Preferred Skills

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform

• Knowledge of data warehousing and big data technologies

• Familiarity with containerization technologies such as Docker/Kubernetes

• CI/CD pipeline implementation experience

• Exposure to messaging platforms such as Kafka Qualifications

• Bachelor''s or Master''s degree in Computer Science, Information Technology, Engineering, or related field.

• 7+ years of software development experience with enterprise-scale applications.

• Proven experience delivering high-performance analytical and data-intensive solutions. Key Competencies

• Strong analytical and problem-solving skills

• Excellent communication and stakeholder management abilities

• Ability to work in a fast-paced Agile environment

• Strong debugging and performance optimization expertise

• Ability to mentor junior developers and drive technical excellence Nice-to-Have Domain Experience

• Banking & Financial Services (BFSI)

• Capital Markets

• Risk Analytics

• Regulatory Reporting and Data Platforms Keywords: Core Java, Apache Spark, Python, SQL, Linux, Big Data, Server-Side Development, Backend Development, Analytical Systems, Distributed Computing, Data Engineering, Application Development, BFSI, Capital Markets. Thanks & Regards