Accenture
Data Engineer
Mumbai
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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
- 9 Oct 2026
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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 : Databricks Unified Data Analytics Platform
- 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, you will engage in the design, development, and maintenance of 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 team members to address challenges and enhance data workflows, contributing to the overall efficiency and effectiveness of data management within the organization.
- 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.
- - Assist in the optimization of data processing workflows to enhance performance.
- - Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
- Professional & Technical Skills:
- - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- - Experience with data integration and ETL tools.
- - Strong understanding of data modeling and database design principles.
- - Familiarity with cloud platforms and services related to data storage and processing.
- - Knowledge of programming languages such as Python or Scala for data manipulation.
- Additional Information:
- - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
- - This position is based at our Kolkata 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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