Experience: 10-15 years
Job description:
1. 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).
2. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
3. Design, develop and deliver large scale data pre-ingestion, ingestion and data transformation use-cases on Azure Data Hub. Should have experience CI/CD using Azure Pipelines.End to End Release and Branching strategies, SQL
4. Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Must have skills: Azure Data Factory, Data Bricks, Python, Advanced SQL
Responsibilities:
Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
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
Good to have energy trading experience