Vacancy expired!
- Responsible for the development of the conceptual, logical, and physical data models and data lakes on target platforms like Redshift,hive
- Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
- Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
- Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
- Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
- 10+ years of hands-on design and implementation of Data Warehouse, Dimensional model and business semantic models
- Should have hands-on experience in designing and build data models from scratch on Cloud Data Warehouse’s like Redshift or Snowflake
- Experience in using data modelling tools like Erwin or ER Studio or others is required.
- Experience on Tableau is a plus
- Should have knowledge of Inmon or Kimball data models patterns
- Knowledge of pyspark is preferable
Vacancy expired!