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Be ready to walk through designing a scalable, secure schema; explain partitions, indexes, and transfer mechanisms; and show how you gather requirements with architects and analysts. Prepare consulting-style examples: constraints, tradeoffs, and stakeholder communication.
Strong fit if you enjoy structured data design, cross-team requirements work, and consulting delivery. India-based Accenture roles suit engineers who want large-scale client systems more than a single-product ownership model.
As a Data Engineer at Accenture, a typical day centers on client or internal data platforms: modeling schemas, documenting architectures, and aligning with architects and analysts on scalability, security, and performance. Expect design of interfaces, partitions, and transfer patterns, plus collaboration across consulting delivery teams rather than a pure product-company stack.
Build toward O*NET-aligned strengths: database architecture, modeling, and reliable data access patterns.
It is a global IT and management consultancy (ACN) serving clients worldwide with technology and process work.
Database architecture, data models, and designs that meet business needs for scale, security, and reliability—often in multi-stakeholder client settings.
No verified pay band is in the provided data; treat compensation as to be confirmed with Accenture for the specific India location and level.
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Website: accenture.com
Accenture plc is an Irish domiciled technology consulting company headquartered in Dublin, Ireland for tax purposes. Founded in 1989 in the United States, Accenture provides information technology and management consulting services across 120 countries globally.
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Data EngineerAccentureIndia What This Role Involves The role of a Data Engineer at Accenture involves designing, developing, and maintaining data solutions for data generation, collection, and processing. You will be responsible for creating data pipelines, ensuring high-quality data, and implementing ETL (extract, transform, and load) processes to migrate and deploy data across systems. Core Duties Design, develop, and maintain data solutions for various data generation, collection, and processing tasks. Create robust data pipelines to ensure seamless data flow between different systems. Ensure high-quality data through rigorous validation and cleaning processes. Implement ETL processes to migrate and deploy data across multiple systems efficiently. Skills & Qualifications Must have strong skills in AWS AI Services. A minimum of 2 years of relevant experience is required. No specific good-to-have skills are mentioned, but proficiency in related technologies and tools would be beneficial. Why Join Accenture Accenture offers a dynamic work environment where you can contribute to groundbreaking projects that shape the future of technology. As a Data Engineer at Accenture, you will have access to cutting-edge tools and resources, collaborate with industry experts, and work on diverse and challenging projects. How to Apply To apply for this role, complete your application directly on this page. If necessary, you'll be redirected to the employer's application platform to finish submitting your application there. Please ensure all required fields are filled out accurately to avoid any delays in processing your application. To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
Generated for personal interview prep · 2026-08-03 UTC · getajob.ai