
Data Modeler
2 days ago
Role: Senior/Lead Data Modeller
Experience: 6+ Yrs
Location: Pune
Notice Period: Immediate to 15 days only
Interview: Virtual discussion
Mode: Hybrid – 4 days a week
About the Role
We are looking for an experienced Data Modeler to join our data engineering team for a leading banking project. The ideal candidate will have hands-on experience in data modeling using Erwin, a deep understanding of Medallion architecture, and strong analytical skills to translate business requirements into scalable, high-quality data models.
Key Responsibilities
- Design, develop, and maintain conceptual, logical, and physical data models using Erwin Data Modeler.
- Implement and optimize Medallion architecture (Bronze, Silver, Gold layers) for data pipelines and analytical systems.
- Collaborate with data engineers, business analysts, and architects to define data modeling standards and best practices.
- Work closely with stakeholders to understand business requirements and translate them into efficient data models.
- Ensure data consistency, quality, and governance across multiple systems and environments.
- Participate in data architecture reviews and provide guidance on database design and performance optimization.
- Support data lineage, metadata management, and data cataloging initiatives.
- Collaborate with the banking domain teams to ensure compliance with regulatory and security standards.
Required Skills & Experience
- Minimum 6 years of experience in data modeling within large-scale enterprise environments.
- Strong hands-on experience with Erwin Data Modeler (or equivalent data modeling tools).
- Proven experience in Medallion architecture (Bronze–Silver–Gold layers) and modern data lake design.
- Deep understanding of data warehousing concepts, ETL/ELT design, and data governance.
- Solid knowledge of SQL and experience working with relational and NoSQL databases.
- Exposure to cloud data platforms (e.g., Azure, AWS, GCP) and modern data engineering ecosystems.
- Strong analytical and communication skills with the ability to collaborate across teams.
- Prior experience working on banking or financial services projects is mandatory.
Good to Have
- Familiarity with Databricks, Snowflake, or Azure Data Factory.
- Knowledge of CDC (Change Data Capture) and data integration patterns.
- Understanding of data quality frameworks and data cataloging tools (e.g., Collibra, Alation).
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