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Accenture

Data Engineer

Posted Yesterday
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In-Office
Pune, Mahārāshtra
Mid level
In-Office
Pune, Mahārāshtra
Mid level
Design, develop, and maintain data solutions, pipelines, and ETL processes. Ensure data quality, migrate and deploy data across systems, optimize workflows, and support scalable data processing. Collaborate with cross-functional teams, document processes, contribute to technical solutions, and mentor junior team members while serving as a subject matter expert.
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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 Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines and ensuring the seamless migration and deployment of data across various systems. The position requires continuous attention to data quality and the implementation of processes that transform raw data into usable formats, enabling smooth data flow and accessibility for different applications and stakeholders.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Monitor and optimize data workflows to improve performance and reliability.
- Document data processes and maintain clear communication with stakeholders.
- Support junior team members by sharing knowledge and assisting with technical challenges.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with designing and implementing data pipelines and ETL processes.
- Strong knowledge of data storage solutions and database management.
- Familiarity with data quality assurance and validation techniques.
- Ability to work with large datasets and optimize data processing workflows.
- Understanding of cloud-based data platforms and integration methods.

Additional Information:
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our Pune office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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