Introduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
Your Role And Responsibilities
What you’ll do:
As a Data Engineer – Data Modeling, you will be responsible for:
Data Modeling & Schema Design
- Developing conceptual, logical, and physical data models to support enterprise data requirements.
- Designing schema structures for Apache Iceberg tables on Cloudera Data Platform.
- Collaborating with ETL developers and data engineers to optimize data models for efficient ingestion and retrieval.
Data Governance & Quality Assurance
- Ensuring data accuracy, consistency, and integrity across data models.
- Supporting data lineage and metadata management to enhance data traceability.
- Implementing naming conventions, data definitions, and standardization in collaboration with governance teams.
ETL & Data Pipeline Support
- Assisting in the migration of data from IIAS to Cloudera Data Lake by designing efficient data structures.
- Working with Denodo for data virtualization, ensuring optimized data access across multiple sources.
- Collaborating with teams using Talend Data Quality (DQ) tools to ensure high-quality data in the models.
Collaboration & Documentation
- Working closely with business analysts, architects, and reporting teams to understand data requirements.
- Maintaining data dictionaries, entity relationships, and technical documentation for data models.
- Supporting data visualization and analytics teams by designing reporting-friendly data models.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
4-7 years of experience in data modeling, database design, and data engineering.
- Hands-on experience with ERwin Data Modeler for creating and managing data models.
- Strong knowledge of relational databases (PostgreSQL) and big data platforms (Cloudera, Apache Iceberg).
- Proficiency in SQL and NoSQL database concepts.
- Understanding of data governance, metadata management, and data security principles.
- Familiarity with ETL processes and data pipeline optimization.
- Strong analytical, problem-solving, and documentation skills.
Preferred Technical And Professional Experience
Experience working on Cloudera migration projects.
- Exposure to Denodo for data virtualization and Talend DQ for data quality management.
- Knowledge of Kafka, Airflow, and PySpark for data processing.
- Familiarity with GitLab, Sonatype Nexus, and CheckMarx for CI/CD and security compliance.
- Certifications in Data Modeling, Cloudera Data Engineering, or IBM Data Solutions.
