Designs and helps refine the data platform blueprint, collaborating with Integration and Data Architects to integrate systems and data models. Implements and optimizes PySpark-based data workflows, documents design decisions, mentors junior staff, and recommends platform improvements to support scalable, reliable data processing.
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 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 active engagement in aligning platform components to support organizational data needs, fostering a cohesive and efficient data environment. The engineer plays a vital role in bridging different architectural perspectives to create a unified data platform that supports business objectives and technological requirements.
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 components with overall architecture.
- Assist in identifying potential improvements and optimizations within the data platform to enhance performance and scalability.
- Support junior team members by sharing knowledge and providing guidance on best practices.
- Maintain clear and thorough documentation of design decisions and integration processes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in PySpark.
- Experience with distributed data processing frameworks and big data ecosystems.
- Strong understanding of data integration techniques and data modeling concepts.
- Familiarity with cloud-based data platforms and services.
- Ability to troubleshoot and optimize data workflows for efficiency and reliability.
- Knowledge of scripting and automation to support data platform operations.
Additional Information:
- The candidate should have minimum 3 years of experience in PySpark.
- This position is based at our Chennai office.
- A 15 years full time education is required.
15 years full time education
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 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 active engagement in aligning platform components to support organizational data needs, fostering a cohesive and efficient data environment. The engineer plays a vital role in bridging different architectural perspectives to create a unified data platform that supports business objectives and technological requirements.
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 components with overall architecture.
- Assist in identifying potential improvements and optimizations within the data platform to enhance performance and scalability.
- Support junior team members by sharing knowledge and providing guidance on best practices.
- Maintain clear and thorough documentation of design decisions and integration processes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in PySpark.
- Experience with distributed data processing frameworks and big data ecosystems.
- Strong understanding of data integration techniques and data modeling concepts.
- Familiarity with cloud-based data platforms and services.
- Ability to troubleshoot and optimize data workflows for efficiency and reliability.
- Knowledge of scripting and automation to support data platform operations.
Additional Information:
- The candidate should have minimum 3 years of experience in PySpark.
- This position is based at our Chennai 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
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.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
