Data Engineer

About the Company: Khonology is a digital services company focused on software development, Application Support, data analytics and engineering. We are looking for a skilled Data Engineer to join our team. The ideal candidate will have a strong background in Python, AWS/Azure Cloud technologies, data pipeline management, ETL and ELT principle. You will be responsible for designing, building, and maintaining scalable and robust data systems to support our data-driven initiatives and productionizing data related systems. Core Responsibilities and Competencies: Programming: Write efficient and maintainable code in Python and SQL. Data Pipeline Management: Design, develop, and maintain data pipelines to ensure smooth data flow from various sources to the data warehouse. Production Systems: Apply best practices in production systems management to ensure reliability and scalability. ETL and ELT Processes: Implement and optimize ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes to ensure data is correctly ingested, transformed, and loaded. Data API Integration: Develop and maintain data APIs to facilitate seamless data access and integration with other systems. Database Management: Manage and optimize relational databases to ensure high performance and reliability. Data Modeling: Design and implement data models to support data product and machine learning needs. Query Optimization: Ensure that queries are always optimized for performance to enhance system efficiency. Our current tech stack: The ideal candidate should be familiar with our current tech stack: Could Platforms : AWS, Microsoft Azure Main Programming language: Python, SQL (Domain-Specific Language) Code Repositories: BitBucket, GitHub, CodeCommit Deployment frameworks: Bamboo, Octopus Deploy, Codebuild and CodeDeploy Experience working with AI, Machine Learning, Generative AI, or data platforms that enable AI-driven products will be highly advantageous.