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 Architecture Principles
Good to have skills : NA
Minimum 15 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 support organizational data needs is a key aspect of daily activities, contributing to the overall data infrastructure and operational excellence.

Roles & Responsibilities:

- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.




- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and optimization of scalable data architectures to support business objectives.
- Mentor and guide junior team members to foster professional growth and enhance team capabilities.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Data Architecture Principles.
- Strong expertise in designing and implementing data pipelines and ETL processes.
- Experience with data modeling, data warehousing, and database management systems.
- Ability to ensure data quality, consistency, and security across multiple platforms.
- Familiarity with cloud-based data solutions and distributed computing frameworks.
- Skilled in troubleshooting and optimizing data workflows for performance and scalability.

Additional Information:

- The candidate should have minimum 15 years of experience in Data Architecture Principles.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

📌 Data Engineer (India)
🏢 Accenture
📍 India