Data Modeller

This role is for one of the Weekday's clients

Salary range: Rs 1800000 - Rs 2200000 (ie INR 18-22 LPA)

Data Modeller

Requirements

Key Responsibilities:

• Design and implement conceptual, logical, and physical data models that support business processes and reporting needs.
• Develop data models optimized for Amazon Redshift, ensuring performance, scalability, and integrity of data.
• Work closely with business analysts, data engineers, and stakeholders to translate business requirements into data structures.
• Use Erwin Data Modeller (Erwin ERP) to create and maintain data models and maintain metadata repositories.
• Collaborate with ETL developers to ensure efficient data ingestion and transformation pipelines that align with the data model.
• Apply normalization, denormalization, and indexing strategies to optimize data performance and access.
• Perform data profiling and source system analysis to validate assumptions and model accuracy.
• Create and maintain detailed documentation, including data dictionaries, entity relationship diagrams (ERDs), and data lineage information.
• Drive consistency and standardization across all data models, ensuring alignment with enterprise data architecture and governance policies.
• Identify opportunities to improve data quality, model efficiency, and pipeline performance.
  

Required Skills and Qualifications:

• 4-6 years of hands-on experience in data modeling, including conceptual, logical, and physical modeling.
• Strong expertise in Amazon Redshift and Redshift-specific modeling best practices.
• Proficiency with Erwin Data Modeller (Erwin ERP) or similar modeling tools.
• Strong knowledge of SQL with experience writing complex queries and performance tuning.
• Solid understanding of ETL processes and experience working alongside ETL engineers to integrate data from multiple sources.
• Familiarity with dimensional modeling, data warehousing principles, and star/snowflake schemas.
• Experience with metadata management, data governance, and maintaining modeling standards.
• Ability to work independently and collaboratively in a fast-paced, data-driven environment.
• Strong analytical and communication skills with the ability to present technical concepts to non-technical stakeholders.
  

Preferred Qualifications:

• Experience working in a cloud-native data environment (AWS preferred).
• Exposure to other data modeling tools and cloud data warehouses is a plus.
• Familiarity with data catalog tools, data lineage tracing, and data quality frameworks