Data Warehouse Engineer

IntroductionA career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.Your role and responsibilities As a Data Engineer specializing in Data Warehouses, you will design, develop, and integrate data management systems, leveraging tools like Teradata, Snowflake, and analytics solutions. You will utilize your analytical and problem-solving skills to ensure the efficient and effective management of large-scale data systems. Your primary responsibilities will include: * Design Data Management Systems: Create complex application components and integrate software packages, programs, and reusable objects across various platforms to support data warehouse development. * Develop Data Warehouses: Utilize tools like Teradata, Snowflake, and analytics solutions to build and maintain large-scale data systems, ensuring efficient data management and integration. * Integrate Data Solutions: Apply analytical and problem-solving skills to integrate data management systems, resolving technical issues and optimizing system performance. * Ensure Data Efficiency: Monitor and optimize data systems to ensure efficient and effective management of large-scale data, identifying areas for improvement and implementing solutions. * Solve Technical Issues: Collaborate with teams to resolve technical issues related to data warehouse development and integration, applying analytical and problem-solving skills to ensure timely resolution. Required technical and professional expertise * Proven experience in designing, developing, and maintaining data warehouse solutions. * Strong hands-on experience with dbt (Data Build Tool) for data transformation and modeling. * Proficiency in SQL and data warehousing concepts (ETL/ELT, dimensional modeling, data quality). * Experience working with cloud-based data platforms; Snowflake experience is a plus. * Knowledge of data pipeline development, performance optimization, and troubleshooting. * Strong analytical, problem-solving, and communication skills. * Ability to work collaboratively in an agile environment. 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.