Data Engineer

Accenture in India; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Accenture in India is seeking a Data Engineer to design, develop, and maintain data solutions supporting data generation, collection, and processing. You will build and optimize data pipelines, ensure data quality, and implement ETL across systems.

The role requires hands-on MongoDB proficiency and strong experience in large-scale data processing, data modeling, and NoSQL schemas. You will work from our Bengaluru office (BDC14A - STPI) with a focus on scalable data architectures.

Qualifications

• Must have MongoDB proficiency.
• Experience designing and optimizing data pipelines for large-scale data processing.
• Strong knowledge of data modeling and NoSQL schemas.

Responsibilities

• Design, develop, and maintain data solutions for data generation, collection, and processing.
• Create data pipelines and ensure data quality across systems.
• Monitor and optimize data workflows; troubleshoot pipeline issues.

Skills

MongoDB

Education

15 years education

Job description

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 : MongoDB

Good to have skills : NA

Minimum 3 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 data generation, collection, and processing activities. The role includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and integrity of data throughout its lifecycle. Additionally, the position requires implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. This role demands continuous monitoring and optimization of data workflows to support organizational data needs effectively.

Roles & Responsibilities:

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Monitor and troubleshoot data pipeline issues to maintain system reliability.
• Document data processes and workflows to support knowledge sharing and operational continuity.
• Assist junior team members in understanding data engineering concepts and best practices.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in MongoDB.
• Experience in designing and optimizing data pipelines for large-scale data processing.
• Strong knowledge of data modeling and schema design in NoSQL databases.
• Familiarity with data integration techniques and ETL process implementation.
• Ability to work with distributed data systems and ensure data consistency.
• Understanding of performance tuning and query optimization in MongoDB environments.

Additional Information:

• The candidate should have minimum 3 years of experience in MongoDB.
• This position is based at our BDC14A - STPI office.
• A 15 years full time education is required.