Data Engineer Job in Zscaler

Key Responsibilities: Software Development: Design, code, test, and maintain high-quality software solutions that align with company objectives and user requirements. Collaboration: Work alongside other developers, data scientists, and product managers in a team-oriented environment to produce integrated software solutions. Code Review & Quality Assurance: Ensure the robustness, efficiency, and scalability of applications through rigorous code reviews and automated testing. Continuous Learning: Stay updated with the latest software development practices, tools, and frameworks. Familiarize oneself with machine learning concepts, as applied within the business. Documentation: Write clear, concise, and comprehensive documentation for code, algorithms, and software solutions. Problem Solving: Tackle complex technical challenges and troubleshoot issues that arise in the production environment. Required Qualifications and Experience: Minimum of Bachelor s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in software development. Proficiency in key programming languages relevant to the role (e.g., Python, Java, C++, etc.). Familiarity with software development frameworks and best practices. Strong understanding of data structures, algorithms, and software design principles. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn is mandatory. Proficient understanding of data preprocessing, feature engineering, model training, evaluation, and deployment. Experience with version control systems such as Git. Excellent written and verbal communication skills. Desired Skills and Experience: Experience with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Contributions to open-source projects or a portfolio of personal projects. Demonstrated experience in the digital experience monitoring space, with a deep understanding of user experience metrics, monitoring tools, and methodologies