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 : Python Frameworks
Good to have skills : Data Analysis & Interpretation, Test Management
Minimum 7.5 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 robust 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 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 business objectives.
- Mentor junior team members to enhance their technical skills and professional growth.
- Coordinate cross-functional efforts to ensure data solutions meet quality and performance standards.
- Continuously evaluate and improve existing data processes to increase efficiency and reliability.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Python Frameworks, Data Analysis & Interpretation, Test Management.
- Good To Have Skills: Data Analysis & Interpretation, Test Management.
- Robust experience in building and optimizing data pipelines and ETL workflows.
- Familiarity with data storage solutions and database management systems.
- Ability to troubleshoot and resolve data-related issues effectively.
- Knowledge of best practices in data security and governance.

Additional Information:

- The candidate should have minimum 7.5 years of experience in Python Frameworks.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

Exception - Recent Project

15 years full time education

📌 Data Engineer (India)
🏢 Accenture
📍 India