**Introduction** Hiring manager and Recruiter should collaborate to create the relevant verbiage. **Your role and responsibilities** A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle. **Required technical and professional expertise** Bachelor s degree in computer science, Information Technology, or a related field (or equivalent experience).. At least 4 years of working experience in cloud operations, managing cloud-based infrastructure, and deploying cloud services.. Proficiency in cloud platforms such as Amazon Web Services (AWS) and/or Microsoft Azure.. Strong understanding of infrastructure-as-code principles and tools.. Familiarity with scripting and automation using languages like Python, PowerShell, Bash, etc.. Experience with monitoring and log aggregation tools for proactive issue detection.. Knowledge of security best practices and experience implementing security controls in cloud environments.. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.