**Introduction** 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 our clients locally based skills and technical expertise to drive innovation and adoption of new technology. **Your role and responsibilities** As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: * Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. * Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. * Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too **Required technical and professional expertise** * Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems. * Implement data quality and validation processes within Ab Initio.. Data Modeling and Analysis:. * Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes.. * Analyze and model data to ensure optimal ETL design and performance.. * Ab Initio Components:. . Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions.. Implement best practices for reusable Ab Initio components **Preferred technical and professional experience** * Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization.. Conduct performance tuning and troubleshooting as needed.. Collaboration:. . * Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes.. * Participate in design reviews and provide technical expertise to enhance overall solution quality.. Documentation:.