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.

Reltio, Data Architecture Principles, AWS Architecture

Minimum 12 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

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 includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also requires 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 robust and scalable data infrastructure.





Lead the design and implementation of scalable data architectures to support business needs.

Mentor junior team members and support their qualified growth.

Coordinate cross-functional efforts to ensure data solutions align with organizational goals.

Must To Have Skills: Proficiency in Reltio, Data Architecture Principles, AWS Architecture.

Strong knowledge of data integration techniques and best practices for building data pipelines.

Experience with cloud-based data platforms and services, particularly within the Amazon Web Services ecosystem.

Ability to design and optimize extract, transform, and load processes for large-scale data migration.

Familiarity with data governance and quality assurance methodologies to maintain data accuracy and consistency.

The candidate should have minimum 12 years of experience in Reltio.

A 15 years full time education is required.

📌 Data Engineer (with AWS) (Bhubaneswar)
🏢 Accenture
📍 Bhubaneswar