Data Modeling Techniques and Methodologies Professional- Cebu

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Key Responsibilities:

Drive discussions with clients teams to understand business requirements, develop Data Models that fits in the requirements

Drive Discovery activities and design workshops with client and support design discussions

Create Data Modeling deliverables and getting sign-off

Develop the solution blueprint and scoping, do estimation for delivery project.

Technical Experience:

Must Have Skills:

7+ year overall IT experience with 3+ years in Data Modeling

Data modeling experience in Dimensional Modeling and/or 3-NF modeling/No-SQL DB modeling

Should have experience on at least one Cloud DB Design work

Conversant with Modern Data Platform

Work Experience on data transformation and analytic projects, Understanding of DWH.

Instrumental in DB design through all stages of Data Modeling

Experience in at least one leading Data Modeling Tools e.g. Erwin, ER Studio or equivalent

Good to Have Skills:

Any of these add-on skills - Data Vault Modeling, Graph Database Modelling, RDF, Document DB Modeling, Ontology, Semantic Data Modeling

Preferred understanding of Data Analytics on Cloud landscape and Data Lake design knowledge.

Cloud Data Engineering, Cloud Data Integration

Must be familiar with Data Architecture Principles.

Professional Experience:

Strong requirement analysis and technical solutioning skill in Data and Analytics

Excellent writing, communication and presentation skills.

Eagerness to learn new skills and develop self on an ongoing basis.

Good client facing and interpersonal skills

Educational Qualification:

B.E. or B.Tech. must