Technology & Transformation | EAID | Engineering | Azure| Senior Consultant

Deloitte · Bengaluru, IN · India

The Team   Deloitte’s Technology & Transformation: EAD: Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information...

The Team

 

Deloitte’s Technology & Transformation: EAD: Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Your work profile:

 

As a Consultant/Senior Consultant in our Technology & Transformation Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: -

 

Key skills required:

 

  Design, develop, and maintain data pipelines using Azure services.

  Build and optimize ETL/ELT workflows for data ingestion and transformation.

  Develop and manage data lakes, data warehouses, and data marts.

  Implement data integration solutions using Azure-native tools.

  Monitor, troubleshoot, and optimize data processing jobs and workflows.

  Ensure data quality, security, governance, and compliance standards.

  Collaborate with business teams to understand data requirements and translate them into technical solutions.

  Automate deployment and management of data infrastructure using DevOps practices.

  Support analytics, reporting, and machine learning initiatives by providing clean and accessible datasets.

  Create technical documentation and maintain data architecture standards

 

Experience and Qualification:

 

 

 

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