A
Accenture
Data Engineer

Data Engineer

On-siteMidData EngineerJust posted
Role summaryAI-generated

This role focuses on designing scalable data pipelines and ensuring seamless integration of data systems, requiring expertise in Databricks and ETL processes to align platform components with project requirements. The candidate will collaborate closely with architects to refine data infrastructure while maintaining high data quality and performance standards.

Skills required

About this role

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 Databricks Certification Must

Summary:
As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design. This role requires close collaboration with Integration Architects and Data Architects to ensure seamless integration across various systems and data models. The position demands a proactive approach to aligning platform components with project requirements, fostering effective communication among team members, and supporting the overall architecture strategy to maintain a robust and scalable data environment.

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 ensure alignment of data platform components with business needs.
- Assist in troubleshooting and resolving data platform issues to maintain system reliability.
- Support junior team members by sharing knowledge and providing guidance on best practices.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with data pipeline development and management.
- Strong understanding of data integration techniques and tools.
- Familiarity with cloud-based data platforms and architectures.
- Knowledge of data storage solutions and optimization strategies.
- Ability to work with large-scale data processing frameworks.

Additional Information:
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our CDC2A - SEZ location.
- A 15 years full time education is required, along with Databricks Certification.

15 years full time education Databricks Certification Must

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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