Quick Summary
- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.
15 years full time educationSummary: As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design.
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 : Python (Programming Language), Amazon Web Services (AWS), PySpark
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
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 understanding the evolving data platform components and working within a team environment to align technical solutions with organizational goals. Daily activities include coordinating with multiple stakeholders to maintain consistency and efficiency in data platform architecture and supporting the overall data infrastructure strategy.
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 effectively with cross-functional teams to ensure alignment of data platform initiatives.
- Assist in identifying opportunities for process improvements within the data platform environment.
- Support junior team members by sharing knowledge and providing guidance when necessary.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering, Python (Programming Language), Amazon Web Services (AWS), PySpark.
- Good To Have Skills: Experience with Python (Programming Language), Amazon Web Services (AWS), PySpark.
- Strong understanding of data pipeline development and data integration techniques.
- Experience with cloud-based data storage and processing solutions.
- Familiarity with data modeling concepts and best practices.
- Ability to optimize data workflows for performance and scalability.
Additional Information:
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our Coimbatore office.
- A 15 years full time education is required.
15 years full time education
Visit us at www.accenture.com
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.
Location & Eligibility
Listing Details
- Posted
- September 22, 2026
- First seen
- September 29, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 6
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- October 6, 2026
Signal breakdown
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