Senior Software Developer-Machine Learning

As a Data Engineer at Global Banking Organization, your role involves applying expertise in machine learning, predictive modeling, and data analytics to derive meaningful insights and drive data-driven decisions. You will be responsible for developing and optimizing ETL pipelines for efficient data extraction, transformation, and loading across cloud and legacy systems. Collaborating with cross-functional teams, you will assess, modernize, and migrate legacy data systems to cloud-based solutions, with a preference for Azure/GCP. Designing and maintaining SQL & NoSQL databases for efficient data storage, retrieval, and security is also a key aspect of your role. Additionally, you will implement data warehousing solutions, leverage integration tools to streamline workflows, and enhance data workflows to improve system performance and reliability. Your technical leadership will be crucial in ensuring best practices and industry compliance in data-related projects, while working closely with business and technical teams to align data strategies with organizational goals. This role plays a pivotal part in bridging traditional and cloud-based systems for smooth data migration, integration, and scalability by leveraging cutting-edge technologies. Key Responsibilities: - Apply expertise in machine learning, predictive modeling, and data analytics for deriving insights. - Develop and optimize ETL pipelines for efficient data extraction, transformation, and loading. - Collaborate with teams to modernize and migrate legacy data systems to cloud-based solutions. - Design and maintain SQL & NoSQL databases for efficient data storage and retrieval. - Implement data warehousing solutions and leverage integration tools to streamline workflows. - Enhance data workflows to improve system performance and reliability. - Provide technical leadership in data-related projects ensuring best practices and compliance. - Work closely with business and technical teams to align data strategies with organizational goals. Qualifications: - Post Graduation in Computer Science or Information Technology. - Proficiency in Python, Java, and SQL (SQL & NoSQL databases). - Knowledge of data warehousing and integration tools. - Excellent analytical and problem-solving skills. - Strong verbal and written communication skills.,