Data Engineer

Posted:
12/21/2025, 8:46:53 PM

Location(s):
Gurgaon, Haryana, India ⋅ Telangana, India ⋅ Haryana, India ⋅ Hyderabad, Telangana, India

Experience Level(s):
Expert or higher ⋅ Senior

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 : PySpark
Good to have skills : Python (Programming Language), Amazon Web Services (AWS)
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: 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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and optimize data workflows, ensuring that the data infrastructure supports the organization's analytical needs effectively. Roles & Responsibilities: - Develop and maintain data pipelines using PySpark, SQL, and Python. - Design and deploy ETL/ELT solutions leveraging AWS services such as Glue, S3, and Glue Catalog. - Analyze business requirements and translate them into technical designs. - Optimize performance and ensure secure AWS deployments. - Monitor and troubleshoot production pipelines; provide timely resolutions. - Document technical workflows and maintain process clarity. - Collaborate actively in team discussions and stakeholder workshops. Professional & Technical Skills: - Must To Have Skills: - Strong knowledge of PySpark, SQL, and distributed data processing. - Good To Have Skills: - Hands-on experience with AWS Glue, Python, S3, and related AWS Big Data services. - Ability to create efficient, reusable, and secure data solutions. - Excellent communication skills for interacting with technical and non-technical stakeholders. - Familiarity with data governance, security best practices, and process visualization tools. - Exposure to public safety domain projects will be considered a strong plus. . Additional Information: - The candidate should have minimum 3 years of experience in PySpark. - This position is based at our Gurugram 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