Purple Drive
Overview
Role: Data Modeller Total Experience: 8-10 Years Responsibilities
Collaborates with stakeholders, business partners, SMEs, systems peers, and cross-functional teams to elicit data requirements and design appropriate data models that align with business needs. Translates current and future business requirements into conceptual, logical, and physical data model designs. Proficiency in standard data modeling tools (e.g. Erwin, ER Studio, Toad DM, Power Designer, etc.). Structured execution of data analysis, data profiling, and data mapping tasks. Ensures referential integrity is maintained via data modeling design and data quality recommendations. Ensures data governance practices are followed during model creation to support data cataloging, taxonomy, data lineage, and data quality. Designs data models for multiple patterns (e.g. relational, dimensional, hybrid) associated with data warehouse, BI, and large data applications. Creates net new data models and extends existing across multiple DBMS platforms (Oracle, SQL Server, DB2, Snowflake, Teradata, NoSQL). Ability to understand and explain complex data integration and ETL processes. Identifies and resolves data model performance issues to optimize database performance and overall system functionality. Documents and communicates data model designs and standards to ensure understanding and interoperability across the organization. Fluency in Python, SQL, and Unix; high proficiency with generating complex SQL queries. Version control of databases and metadata management tools (e.g. Git, Liquibase, etc.). Proven communication skills illustrating ability to effectively interact with people at all levels of business and technology organizations. Experience working in an Agile environment using Lean, Kanban and Scrum practices. Insurance and Financial domain experience is highly desired. Qualifications
Total Experience: 8-10 years. Skills: Python, Data Concepts & Data Modelling, Erwin. Proficiency with data modeling tools (e.g. Erwin, ER Studio, Toad DM, Power Designer). Fluency in Python, SQL, and Unix; ability to generate complex SQL queries. Experience collaborating with stakeholders and cross-functional teams to elicit requirements and design data models. Experience in data governance practices, data cataloging, taxonomy, data lineage, and data quality. Experience with multiple DBMS platforms (Oracle, SQL Server, DB2, Snowflake, Teradata, NoSQL). Strong communication skills and ability to interact with all levels of business and technology. Experience in an Agile environment (Lean, Kanban, Scrum). Insurance and Financial domain experience is highly desired.
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Role: Data Modeller Total Experience: 8-10 Years Responsibilities
Collaborates with stakeholders, business partners, SMEs, systems peers, and cross-functional teams to elicit data requirements and design appropriate data models that align with business needs. Translates current and future business requirements into conceptual, logical, and physical data model designs. Proficiency in standard data modeling tools (e.g. Erwin, ER Studio, Toad DM, Power Designer, etc.). Structured execution of data analysis, data profiling, and data mapping tasks. Ensures referential integrity is maintained via data modeling design and data quality recommendations. Ensures data governance practices are followed during model creation to support data cataloging, taxonomy, data lineage, and data quality. Designs data models for multiple patterns (e.g. relational, dimensional, hybrid) associated with data warehouse, BI, and large data applications. Creates net new data models and extends existing across multiple DBMS platforms (Oracle, SQL Server, DB2, Snowflake, Teradata, NoSQL). Ability to understand and explain complex data integration and ETL processes. Identifies and resolves data model performance issues to optimize database performance and overall system functionality. Documents and communicates data model designs and standards to ensure understanding and interoperability across the organization. Fluency in Python, SQL, and Unix; high proficiency with generating complex SQL queries. Version control of databases and metadata management tools (e.g. Git, Liquibase, etc.). Proven communication skills illustrating ability to effectively interact with people at all levels of business and technology organizations. Experience working in an Agile environment using Lean, Kanban and Scrum practices. Insurance and Financial domain experience is highly desired. Qualifications
Total Experience: 8-10 years. Skills: Python, Data Concepts & Data Modelling, Erwin. Proficiency with data modeling tools (e.g. Erwin, ER Studio, Toad DM, Power Designer). Fluency in Python, SQL, and Unix; ability to generate complex SQL queries. Experience collaborating with stakeholders and cross-functional teams to elicit requirements and design data models. Experience in data governance practices, data cataloging, taxonomy, data lineage, and data quality. Experience with multiple DBMS platforms (Oracle, SQL Server, DB2, Snowflake, Teradata, NoSQL). Strong communication skills and ability to interact with all levels of business and technology. Experience in an Agile environment (Lean, Kanban, Scrum). Insurance and Financial domain experience is highly desired.
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