Description

You will design, model, and optimize data architectures to support business decision-making and data-intensive programs.

This role is on-site.

Responsibilities

• Translate business requirements into conceptual, logical, and physical data model designs across multiple DBMS platforms.
• Execute data analysis, profiling, and mapping to ensure referential integrity and data quality.
• Apply data governance practices, including cataloging, taxonomy, and lineage, during model creation.
• Identify and resolve data model performance issues to optimize database functionality.
• Collaborate with stakeholders and cross-functional teams to elicit requirements and communicate designs.

Required Skills

• 5+ years of experience in Data Modelling.
• Advanced proficiency in SQL and Python.
• Extensive experience with SQL query generation and Unix.
• Hands-on experience with AWS cloud environments.
• Proficiency with data integration tools such as Databricks, Talend, Informatica, or APIs.
• Experience with modeling tools like Erwin, ER Studio, Toad DM, or PowerDesigner.
• Database experience with Oracle, SQL Server, DB2, Snowflake, Teradata, or NoSQL (MongoDB, Graph).
• Version control experience using GitHub or Liquibase.
• Experience working in Agile environments using Lean, Kanban, or Scrum.

Preferred Skills

• Insurance or Financial domain experience.

Key Skills

Education

Any Graduate