Data Modeling Techniques and Methodologies Professional

Gratitude Inc

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3 hours ago

Data Modeling Techniques and Methodologies Professional

3-5 Year(s)

45 - 150 Thousand p.m

Cebu Central Visayas

Job Description

Key Skills

data modelling Cloud DB Design work Data Architecture Principles

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Description / Requirements

JOB TITLE: Data Modeling Techniques and Methodologies Professional- Cebu

WORK SET UP: On-site in Cebu City

Ready to join Accenture’s team of empowered people? We’re looking for candidates with the following skills and experience for this role. Do you fit the profile? If you do, we’d love to hear from you!

In adherence to Accenture’s process of Identity Verification, your resume or CV must include your photo to ensure the accuracy of your application.

Summary: 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.

Roles & 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.

Professional & Technical Skills:

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

• Minimum 3 year(s) of experience is

Role

Data Analyst

Timings

Rotational Shifts (Permanent)

Industry

BPO

Work Mode

Work from office

Functional Area

Analytics & Business Intelligence

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Anitha Batamuriza

Recruiter - Gratitude Inc

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