Data Engineer

Posted:
6/28/2026, 10:52:32 PM

Location(s):
Bengaluru, Karnataka, India ⋅ Karnataka, India

Experience Level(s):
Expert or higher

Field(s):
Data & Analytics

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 : Python (Programming Language)
Good to have skills : Ab Initio
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
In the role of Data Engineer, a typical day involves managing and enhancing data infrastructure to support business analytics and reporting needs. This includes developing and refining data pipelines, integrating diverse data sources, and ensuring data quality and accessibility. The role requires close collaboration with various teams to understand data requirements and deliver reliable data solutions that drive informed decision-making within the organization. Continuous monitoring and optimization of data workflows are essential to maintain efficiency and accuracy in data handling processes.

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 gather and analyze data requirements.
- Design, develop, and maintain scalable data pipelines to support analytics and reporting.
- Ensure data integrity and quality through rigorous validation and testing procedures.
- Assist junior team members by providing guidance and support in technical tasks.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Python Frameworks, Ab Initio.
- Experience in developing and optimizing complex SQL queries for data extraction and transformation.
- Strong knowledge of data warehousing concepts and architecture.
- Hands-on experience with data integration from multiple sources including APIs, flat files, and cloud storage.
- Familiarity with Python libraries such as Pandas, NumPy, SQLAlchemy, and PySpark for data manipulation and pipeline development.
- Ability to automate data workflows and ensure efficient data processing.

Additional Information:
- The candidate should have minimum 2 years of experience in Python Frameworks.
- This position is based at our Bengaluru 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 

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing