Job Location: Hyderabad/Secunderabad

Data Engineer – (4 to 8 years):

Exaze is looking for an experience Data Engineer to join one of our projects for a global banking group. The candidate will be required to deliver to all stages of the data engineering process data ingestion, transformation, data modelling and data warehousing, and building self-service data products.

Person must deliver high quality data to business and end users through self-service data products, providing modelled data warehouses on which they can add reporting and analytics

Responsibilities include:

• Building dynamic meta-data driven data ingestion patterns using Azure Data Factory
• Working closely with end-users to understand their business and their data requirements
• Ad hoc data analysis and ‘data wrangling’ using Synapse Analytics and Databricks
• Building and maintaining the Enterprise Data Warehouse (Data Vault 2.0), business focused ‘Info Marts’, Azure Analysis Services databases and cubes
• Building ‘infrastructure-as-code’ deployment pipelines and sharing support duties within the engineering team

Experience in the following technologies are required:

• Excellent data analysis and exploration using T-SQL, and strong SQL programming (stored procedures, functions)
• Knowledge and experience of data warehouse modelling methodologies
• Experience in Azure, in particular Data Factory, Synapse, and Databricks
• Good understanding of Data Lakes, in particular Azure Data Lake Gen2
• Experience in building robust and performant ETL processes
• Building and maintain Analysis Services databases and cubes (both multidimensional and tabular)
• Experience in using source control, specifically GIT and deployment pipelines

Advantageous technical skills:

• Knowledge of financial markets and industry financial reporting standard
• Azure Certified
• Some programming ability (C#, .Net Core)

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