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Accenture

Data Engineer

Hyderabad

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hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
25 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

  • 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 5 year(s) of experience is required
  • Educational Qualification : 15 years full time education
  • Summary:
  • As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. You will work closely with different teams to support data-driven initiatives and contribute to the overall data infrastructure of the organization.
  • Roles & Responsibilities:
  • - 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.
  • - Provide solutions to problems for their immediate team and across multiple teams.
  • - Lead efforts to optimize data workflows and improve system performance.
  • - Mentor junior team members to enhance their technical skills and project contributions.
  • - Coordinate cross-functional collaboration to align data engineering efforts with business goals.
  • Professional & Technical Skills:
  • - Must To Have Skills: Proficiency in Data Engineering.
  • - Experience with designing and implementing scalable data pipelines and ETL processes.
  • - Strong knowledge of data storage solutions, including relational and non-relational databases.
  • - Familiarity with cloud platforms and data orchestration tools.
  • - Ability to ensure data quality, integrity, and security throughout data processing.
  • - Experience with programming languages commonly used in data engineering such as Python or Java.
  • Additional Information:
  • - The candidate should have minimum 5 years of experience in Data Engineering.
  • - This position is based at our HDC3B - SEZ location.
  • - 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.

Original posting on Accenture's site ↗

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