Data Platform Engineer
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Data Platform Engineer
Location
Indore
Experience
Mid
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : PySpark
Good to have skills : NA
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 architecture. This role requires close collaboration with various architects to align system integrations and data models, ensuring seamless data flow and platform coherence. The position demands active engagement in planning and coordinating efforts to support the overall data infrastructure, fostering a unified and efficient environment for data management and utilization.
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 support data platform enhancements and troubleshoot issues.
- Assist in documenting platform designs and integration workflows to maintain clear communication across teams.
- Support junior team members by sharing knowledge and providing guidance on platform-related tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in PySpark.
- Experience in designing and implementing scalable data pipelines using PySpark.
- Strong understanding of distributed computing concepts and big data processing frameworks.
- Ability to optimize PySpark jobs for performance and resource efficiency.
- Familiarity with data integration techniques and working with various data storage systems.
- Knowledge of debugging and troubleshooting complex data workflows in a distributed environment.
Additional Information:
- The candidate should have minimum 3 years of experience in PySpark.
- This position is based at our Indore 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](http://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.
Key Responsibilities
- Assist with data platform blueprint and design.
- Collaborate with Integration and Data Architects to ensure cohesive system integration.
- Design and implement scalable data pipelines using PySpark.
- Optimize PySpark jobs for performance and resource efficiency.
- Troubleshoot complex data workflows in distributed environments.
- Document platform designs and integration workflows.
- Support junior team members by sharing knowledge and providing guidance.
Requirements
- 15 years full time education
Skills Required
PySparkDistributed computingBig data processing frameworksData integration techniquesData storage systemsDebuggingTroubleshootingCollaborationCommunicationProblem solvingMentoring
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