Accenture
First seen 2026-08-15 on Accenture's careers page.
- Open so farsince Accenture published it
- 23 days
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What Accenture says 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 : AWS Machine Learning
Good to have skills : Machine Learning (ML), Data Analytics, Amazon Web Services (AWS)
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for business needs. Collaboration with different teams to optimize data handling and support organizational objectives is a key aspect of daily activities.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have influencing and Advisory skills.
- Engage with multiple teams and responsible for team decisions.
- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Monitor and troubleshoot data pipeline performance to ensure reliability and efficiency.
- Support junior team members by sharing knowledge and providing guidance on best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS Machine Learning, Amazon Web Services (AWS), Data Analytics, Machine Learning (ML).
- Good To Have Skills: Experience with Amazon Web Services (AWS), Data Analytics, Machine Learning (ML).
- Strong understanding of cloud-based data processing and storage solutions.
- Experience in building scalable and robust data pipelines using cloud technologies.
- Familiarity with data integration techniques and tools to support ETL processes.
- Ability to optimize data workflows for performance and cost efficiency.
Additional Information:
- The candidate should have minimum 5 years of experience in AWS Machine Learning.
- This position is based at our DDC 1A - STPI location.
- 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 : AWS Machine Learning
Good to have skills : Machine Learning (ML), Data Analytics, Amazon Web Services (AWS)
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for business needs. Collaboration with different teams to optimize data handling and support organizational objectives is a key aspect of daily activities.
Roles & Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have influencing and Advisory skills.
- Engage with multiple teams and responsible for team decisions.
- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Monitor and troubleshoot data pipeline performance to ensure reliability and efficiency.
- Support junior team members by sharing knowledge and providing guidance on best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS Machine Learning, Amazon Web Services (AWS), Data Analytics, Machine Learning (ML).
- Good To Have Skills: Experience with Amazon Web Services (AWS), Data Analytics, Machine Learning (ML).
- Strong understanding of cloud-based data processing and storage solutions.
- Experience in building scalable and robust data pipelines using cloud technologies.
- Familiarity with data integration techniques and tools to support ETL processes.
- Ability to optimize data workflows for performance and cost efficiency.
Additional Information:
- The candidate should have minimum 5 years of experience in AWS Machine Learning.
- This position is based at our DDC 1A - STPI location.
- 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
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Published by Accenture on their own careers feed and reproduced as supplied. See the original posting for the current version.