Data Engineer-Data Warehouse

Job Description

IBM Consulting Overview In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role and Responsibilities As an Associate Software Developer at IBM, you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in selecting the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer , you'll tackle challenges related to database integration and work with complex, unstructured data sets. Primary Responsibilities: Implement and validate predictive models, as well as create and maintain statistical models with a focus on big data, incorporating various machine learning techniques. Design and implement enterprise search applications such as Elasticsearch and Splunk for client requirements. Work in an Agile, collaborative environment, partnering with scientists, engineers, consultants, and database administrators across disciplines to apply analytical rigor to predictive modeling challenges. Develop teams or write programs to cleanse and integrate data efficiently and develop predictive or prescriptive models. Evaluate modeling results to ensure accuracy and effectiveness. Required Education Bachelor's Degree Preferred Education Master's Degree Required Technical and Professional Expertise Strong experience in SQL. Strong experience in DBT (Data Build Tool). Strong understanding of Data Warehousing concepts. Strong experience in AWS or other cloud platforms. Redshift experience is a plus. Preferred Technical and Professional Experience Ability to thrive in teamwork settings with excellent verbal and written communication skills. Capability to communicate with internal and external clients to understand business needs and provide analytical solutions. Ability to present results to both technical and non-technical audiences effectively.