Design, develop, and maintain data solutions, pipelines, and ETL processes. Ensure data quality, support data integration and modeling, and optimize cloud-based data workflows for scalability and performance. Collaborate with integration and data architects, contribute to data platform strategy, solve technical problems independently, and guide junior team members.
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 : 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
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
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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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.
