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
Positive to have skills : NA
Minimum 12 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 processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize workflows is an integral part of daily activities, ensuring that data solutions meet organizational needs effectively.

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.




- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and implementation of scalable data architectures that support business objectives.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth and technical excellence.
- Coordinate cross-functional efforts to ensure data solutions are aligned with organizational goals and compliance requirements.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Data Architecture Principles.
- Strong expertise in designing and optimizing data pipelines and workflows.
- Experience with data integration and migration techniques across heterogeneous systems.
- Ability to ensure data quality, consistency, and governance throughout data processing stages.
- Familiarity with data storage solutions and performance tuning for large-scale data environments.
- Skilled in troubleshooting and resolving complex data-related issues to maintain system reliability.

Additional Information:

- The candidate should have minimum 12 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 (Bengaluru)
🏢 Accenture
📍 Bengaluru