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We are seeking a seasoned Senior Lead Data Engineer with a dual-threat background in robust backend development and large-scale data processing. You are a self-starter who thrives in high-complexity environments and possesses the architecture maturity to take a project from a blank page to a production-ready ecosystem without hand-holding.
Job Responsibility:
Design, develop, and maintain robust, scalable, and high-performance applications using Java, PySpark/Python
Lead the architecture and design of complex software systems and ensure adherence to best practices
Collaborate with product managers, designers, and other developers to define project requirements and deliverables
Optimize and refactor existing codebases for performance, scalability, and maintainability
Mentor junior developers and provide technical guidance to the team
Integrate third-party APIs, libraries, and tools into applications
Write unit tests, perform code reviews, and ensure high code quality
Work with DevOps teams to deploy and monitor applications in production environments
Stay updated with the latest trends and advancements in Java and Python and related technologies
Requirements:
8+ years of professional experience in Java, PySpark/Python development
Strong understanding of Python frameworks such as Django, Flask, or FastAPI
Expertise in building Java RESTful APIs and microservices architecture
Solid understanding of software design patterns, algorithms, and data structures
Hands-on experience with Big Data Environment
Familiarity with CI/CD pipelines and version control systems (e.g., Git)
Strong debugging and problem-solving skills
Excellent communication and collaboration skills
Nice to have:
Experience with Java and PySpark/Python development creating data processing pipeline and frameworks
Knowledge on CICD process to code versioning and deployments in various environment
Resource should have good knowledge on Big Data environments and distributed architecture