Description :

About The Company :

Inteliment is a niche business analytics company with almost 2 decades proven track record of partnering with hundreds of fortunes 500 global companies.

Inteliment operates its ISO certified development centre in Pune, India and has business operations in multiple countries through subsidiaries in Singapore, Europe and headquarter in India.

About The Role :

We are seeking an experienced Technical Data Professional with hands-on expertise in designing and implementing dimensional data models using Erwin or any dimensional model tool and building SQL-based solutions adhering to Data Vault 2.0 and Information Mart standards.

The ideal candidate will have strong data analysis capabilities, exceptional SQL skills, and a deep understanding of data relationships, metrics, and granularity of the data structures.

Qualifications :

Bachelors degree in computer science, Information Technology, or a related field.

Certifications with related field will be an added advantage.

Key Competencies :

Technical Expertise :

- Proficiency in Erwin for data modeling.

- Advanced SQL skills with experience in writing and optimizing performance driven queries.

- Hands-on experience with Data Vault 2.0 and Information Mart standards is highly preferred.

- Solid understanding of Star Schema, Facts & Dimensions, and Business Unit (BU) architecture.

Analytical Skills :

- Strong data analysis skills to evaluate data relationships, metrics, and granularities.

- Capability to troubleshoot and resolve complex data modeling and performance issues.

Soft Skills :

- Strong problem-solving and decision-making skills.

- Excellent communication and stakeholder management abilities.

- Proactive and detail-oriented with a focus on delivering high-quality results.

Key Responsibilities Skills : SQL, Data modeling, Data Vault, ERwin, Star schema and Data Warehouse (DWH).

Dimensional Data Modeling :

- Design and develop dimensional data models using Erwin with a focus on Star Schema and BUS architecture (Fact and Dimension tables).

- Ensure models align with business requirements and provide scalability, performance, and maintainability.

SQL Development :

- Implement data models in SQL using best practices for view creation, ensuring high performance.

- Write, optimize, and refactor complex SQL queries for efficiency and performance in large-scale databases.

- Develop solutions adhering to Information Mart and Data Vault 2.0 standards.

- Dimensional model that is built using Raw Data vault tables Hubs, Links, satellites, Effectivity satellites , Bridge and PIT tables from Data Vault.

Data Analysis & Relationship Metrics :

- Perform in-depth data analysis to identify patterns, relationships, and metrics at different levels of granularity.

- Ensure data integrity and quality by validating data models against business expectations.

Performance Optimization :

- Conduct performance tuning of existing data structures, queries, and ETL processes.

- Provide guidance on database indexing, partitioning, and query optimization techniques.

Collaboration :

- Work closely with business stakeholders, data engineers, and analysts to understand and translate business needs into effective data solutions.

- Support cross-functional teams to ensure seamless integration and delivery of data solutions.