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
Senior Data Engineerrole requires a highly analytical individual proficient in Python programming, database management, and data methodologies. You’ll focus on extracting insights from data, developing and implementing machine learning models, managing big data infrastructure, and supporting AI-driven product development.
Key Responsibilities:
- Data Collection and Cleansing: Collect and cleanse data from diverse sources to ensure high-quality datasets for decision-making
- Data Exploration and Visualization: Explore and visualize data using advanced techniques to uncover insights and trends
- Statistical Analysis: Apply statistical and mathematical techniques to provide robust analytical foundations for predictive modeling
- Machine Learning and Deep Learning: Develop and implement machine learning and deep learning models to address business challenges
- ML-Ops / AI-Ops: Demonstrate expertise in ML-Ops / AI-Ops practices to ensure efficient model deployment and management
- Big Data Management: Manage big data infrastructure and execute data engineering tasks for efficient data processing.
- Version Control and Collaboration: Utilize version control systems like Git for maintaining codebase integrity and fostering collaboration
- AI-Driven Product Development: Design, create, and support AI-driven products to deliver impactful solutions aligned with user needs and business objectives.
Required education
Preferred education
Bachelor's Degree
Required technical and professional expertise
- Develops applications on Big Data technologies including API development
- Expected to have traditional Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries
- Strong technical abilities to understand, design, write and debug complex code
- Extensive knowledge of Power BI
- Fluent English andDutch or French(written & spoken)
Preferred technical and professional experience
- AWS (Lambda S3 DynamoDB etc)
- Cloudformation
- JavaScript
- Cypress testing
- Openshift containers
