Data Engineer

• 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 : Agent Development
• Good to have skills : Python (Programming Language), Large Language Models (LLMs), Agentic Design
• Minimum 5 year(s) of experience is required
• Educational Qualification : 15 years full time education

• Summary:
• In the role of Data Engineer, a typical day involves designing and developing robust data solutions that support the generation, collection, and processing of data. This includes creating and maintaining efficient data pipelines, ensuring the accuracy and quality of data, and implementing processes to extract, transform, and load data across various systems. The position requires continuous monitoring and optimization of data workflows to support seamless data migration and deployment, enabling smooth operations and reliable data availability for multiple teams and projects.

• Roles & Responsibilities:
• - Expected to be an SME, collaborate and manage the team to perform.
• - Responsible for team decisions.
• - Engage with multiple teams and contribute on key decisions.
• - Provide solutions to problems for their immediate team and across multiple teams.
• - Lead efforts to identify and resolve technical challenges within data workflows to enhance overall system performance.
• - Foster a collaborative environment by facilitating communication and knowledge sharing among team members and stakeholders.
• - Support junior team members by providing guidance and mentorship to help develop their skills and understanding.

• Professional & Technical Skills:
• - Must To Have Skills: Proficiency in Agent Development.
• - Good To Have Skills: Experience with Python (Programming Language), Large Language Models (LLMs), Agentic Design.
• - Strong knowledge of data pipeline architecture and best practices for data integration and processing.
• - Experience with designing and implementing ETL processes to ensure efficient data migration and transformation.
• - Ability to troubleshoot and optimize data workflows to maintain high data quality and system reliability.
• - Familiarity with data storage solutions and techniques to support scalable and secure data management.

• Additional Information:
• - The candidate should have minimum 5 years of experience in Agent Development.
• - This position is based at our BDC7A - SEZ 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

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