Experience. 5+ Years
Role and Responsibilities
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Data Management and Organization. Ensure data is organized, structured, and represented in a way that supports efficient data management, analysis, and reporting.
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Data Model Design and Implementation
- Design, implement, and maintain data models for the Finance Data Repository (FDR) to deliver Proof of Value (PoV) and future state FDR business use cases.
- Develop and maintain entity-relationship diagrams (ERDs) to represent data entities, relationships, and attributes.
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Support IT Delivery. Collaborate with the IT Delivery team for FDR build, including logical data model design, transformation logic, and data quality logic within Prudential frameworks.
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Cross-Functional Collaboration. Work with cross-functional teams to understand data requirements and provide technical advice.
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Data Profiling and Quality Analysis. Conduct data profiling and ensure data quality analysis complies with Prudential frameworks and standard practices.
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Data Security and Governance. Ensure data security, compliance, and governance standards are met.
Qualifications
- Experience Level. Proven experience in delivering enterprise data platform projects.
- Education Level. Bachelor’s degree in a relevant field; an advanced degree is preferred.
Personal Attributes
- Strong analytical skills.
- Leadership capabilities.
- Effective communication and problem-solving abilities.
Specific Skills
- Experience in both relational and non-relational databases.
- Proficiency in data modelling techniques, including conceptual, logical, and physical modelling.
- Knowledge of industry standards and best practices in data modelling and database design.
- Strong understanding of relational database management systems (RDBMS) such as PostgreSQL, MySQL, Oracle, etc.
Mandatory Skills
- Expertise in finance data modelling techniques, database design principles, and proficiency in database management systems and test automation.
- Strong background in creating entity-relationship diagrams, dimensional models, and other modelling artifacts to represent complex data structures.
- Proficient in SQL for querying and manipulating data.
- Experience in designing financial data marts to support business intelligence use cases.
- Experience in Agile and DevSecOps delivery, quality practices, techniques, and tools required for all aspects of data engineering/data platforms.
- Experience with cloud-based technologies including Microsoft Azure, Azure Data Lake, ADLS, Databricks, and Delta Lake.
- Experience with JIRA, Confluence, Github, Bitbucket, and other similar developer tools.
If you are a highly skilled data modeler with a passion for finance data and a strong background in database design, we encourage you to apply. Join our team in Bangalore and help us build robust data solutions that drive business success.