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Data Engineer

Data Engineer

Accenture

12 - 15 years

4 - 8 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

architecture data pipelines ai frameworks data platforms data engineer ai data architecture cloud data quality data modeling integration tools solution design business transformation etl data integration

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role

Project Role :Data Engineer

Project Role Description :Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills :Data Architecture Principles

Good to have skills :NA
Minimum 12 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability.Roles & Responsibilities:-Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. Expected to be an SME.

Collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Expected to provide solutions to problems that apply across multiple teams.

Facilitate knowledge sharing and training sessions to enhance team capabilities.

Monitor and evaluate the performance of data solutions to ensure optimal functionality.Professional & Technical
Skills:

- Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
Must To Have Skills:

Proficiency in Data Architecture Principles.

Strong understanding of data modeling techniques and best practices.

Experience with data integration tools and ETL processes.

Familiarity with cloud data platforms and services.

Ability to design scalable and efficient data pipelines.
Additional Information:- The candidate should have minimum 12 years of experience in Data Architecture Principles.

This position is based at our Bengaluru office.

A 15 years full time education is required.
Qualification 15 years full time education

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Data Engineer