Design and develop conceptual, logical, and physical data models to support business requirements.
Implement and manage data models using tools such as Erwin, ER / Studio, or similar.
Leverage deep knowledge of Teradata FSLDM (Financial Services Logical Data Model) for effective implementation and optimization.
Write and optimize complex SQL queries for data analysis, validation, and transformation.
Collaborate with stakeholders to ensure alignment of data models with business goals and governance standards.
Develop and maintain metadata repositories and ensure proper metadata management practices.
Provide documentation for data models, mappings, and related processes.
Apply best practices in data warehousing, medallion architecture, and data governance.
Perform performance tuning and troubleshooting of Teradata queries and workloads.
Identify and resolve data quality issues through root cause analysis.
Ensure compliance with data security and privacy regulations.
Required Skills & Qualifications :
5 to 10 years of hands-on experience in data modeling, metadata management, and related tools (e.g., Erwin, ER / Studio).
Strong understanding of data modeling principles and data lifecycle management.
Expertise in Teradata FSLDM structure, standards, and implementation.
Solid knowledge of Teradata SQL, utilities, performance tuning, and optimization.
Experience with data warehousing concepts and medallion architecture.
Proficiency in documenting models, data flows, and governance policies.
Excellent problem-solving, analytical, and communication skills.
Understanding of metadata management practices.
Knowledge of the insurance domain and related data structures (preferred).
Nice to Have :
Experience in data governance tools and frameworks.
Familiarity with Agile methodologies and DevOps practices.
Industry certifications related to data modeling or Teradata.
(ref : hirist.tech)
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