Spearheading AI-Driven Innovation in Tech We're at the forefront of tech transformation, leveraging AI to drive business growth and efficiency. As a Senior Data Developer, you'll be responsible for implementing AI tools and automation frameworks to enhance development and service delivery. Your Key Responsibilities: - Implement AI tools and automation frameworks to enhance development and service delivery, ensuring efficiency and quality; - Design and implement scalable and robust microservices using Python, Delta Lake, ADB Notebooks, KAFKA, and Couchbase; - Apply AI techniques to optimize backend architectures for speed, reliability, and efficiency; - Take full ownership of the service lifecycle, including technical design, development, testing, and deployment; - Ensure services are promoted to production with minimal downtime and human intervention, keeping all environments operational; - Develop and integrate automated solutions for development, testing, deployment, and monitoring using AI-driven technologies; - Automate unit tests, security checks, and code reviews, using AI tools to identify vulnerabilities and improve code quality; - Work in an agile environment, contributing to sprint cycles and enhancing workflow automation; - Use AI techniques to analyze large datasets, uncover insights, and optimize system performance and user experience; Requirements: - Strong working experience in Python, Delta Lake, ADB Notebooks, Kafka, and Couchbase; deep understanding of microservices architecture and cloud-based service deployment; - Expertise in using AI tools for coding, testing, and deployment automation; familiarity with machine learning, AI model integration, and automation platforms to streamline workflows; - Experience working in agile environments and using automation to enhance sprint efficiency, minimize manual tasks, and accelerate delivery; - Strong understanding of security best practices and how to automate security checks and vulnerability scans within the development and deployment pipeline; - Ability to take full ownership of services, ensuring smooth development, deployment, and maintenance with minimal supervision; automate the entire pipeline from code development to production; - Experience in automating data mining processes and deriving actionable insights using AI-driven techniques;