Technology & Transformation- EAD- Engineering- FE_Angular
Sri Sivam Bharat Minings
Work from Office
Full Time
Min. 4 yearsJob Description
Technology & Transformation- EAD- Engineering- FE_Angular
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Responsibilities:
- Responsible for database modeling, design, Metadata and storage of data in the database (L0 L1 and Sematic views for different use cases)
- Understand the business requirements and enable metrics for further analysis and visualization
- Optimal data pipeline architecture, assemble large, complex data sets that meet functional and non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work with data and analytics experts to strive for greater functionality in client data systems.
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Requirements:
- 4+ years of Exposure to Azure cloud components like Data Factory, and Data Lake, Databricks
- SQL Database is mandatory
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Leapfrog, TM1 Oracle, SQL Server etc)
- Experience building and optimizing - Cloud data modelling architectures, and data sets.
- Analysis and query on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Successful history of manipulating, processing and extracting value from large, disconnected datasets
- Experience supporting and working with cross-functional teams in a dynamic environment
- Develop end to end Data Mart models based on business requirements
- Must have experience on ETL Mapping Design and Development experience - Source to Target mapping
- Perform the design and extension of data marts, meta data, and data models
- Expertise in advanced SQL including some query tuning, Stored Procedures , and Functions
- Logical data modeling/conceptual data modelling/Normalization
- Slowly changing dimensions, Key management, Recursive queries/scalable queries
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