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 : Large Language Models (LLMs)
Good to have skills : NA
Minimum 5 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 productive data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. Collaboration with different teams to optimize data workflows and troubleshoot issues is a key part of daily activities, ensuring that data infrastructure supports organizational needs effectively and reliably.

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 the design and implementation of scalable data architectures to support evolving business requirements.
- Mentor junior team members to enhance their technical skills and understanding of data engineering best practices.
- Coordinate cross-functional efforts to align data strategies with organizational goals.
- Continuously evaluate and improve data processing workflows to increase efficiency and reliability.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in building and optimizing data pipelines and ETL processes.
- Strong knowledge of data integration techniques and data quality assurance.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- Ability to troubleshoot complex data issues and implement effective solutions.
- Understanding of data storage systems and database management.

Additional Information:

- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

📌 Data Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru