Technology & Transformation - Engineering - Senior Consultant - Azure Data Engineer

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 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: -

• Design, develop and deploy solutions using different tools, design principles and conventions.
• Configure robotics processes and objects using core workflow principles in an efficient way; ensure they are easily maintainable and easy to understand.
• Understand existing processes and facilitate change requirements as part of a structured change control process.
• Solve day to day issues arising while running robotics processes and provide timely resolutions.
• Maintain proper documentation for the solutions, test procedures and scenarios during UAT and Production phase.
• Coordinate with process owners and business to understand the as-is process and design the automation process flow.

Key skills required:

• Design and implement scalable cloud solutions on Microsoft Azure for enterprise data and application workloads.
• Develop and manage data pipelines, ETL/ELT workflows, and integration solutions using Azure Data Factory, Databricks, and related services.
• Lead technical delivery of cloud projects, ensuring adherence to architecture standards, performance, security, and reliability best practices.
• Collaborate with stakeholders to translate business requirements into technical designs and implementation plans.
• Perform code reviews, support performance tuning, and drive automation using CI/CD and DevOps practices.
• Mentor junior engineers and provide technical guidance across project teams.
• Required experience: 5–7 years in cloud/data engineering with strong hands-on expertise in Azure ecosystem, Python/SQL, and distributed data processing frameworks.
• UG: B. Tech /B.E. in Any Specialization.
• Hybrid is our default way of working. Each domain has customized the hybrid approach to their unique needs.