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 Engineering 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 comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the seamless migration and deployment of data across various systems. The position demands continuous attention to data quality and the implementation of processes that facilitate smooth data flow and accessibility, contributing to the overall data infrastructure and operational efficiency within the organization. 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 optimize data workflows to enhance performance and reliability. - Document data processes and maintain clear communication channels within the team. - Support junior team members by sharing knowledge and assisting with technical challenges. Skilled & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering. - Experience with designing and implementing data pipelines and ETL processes. - Strong knowledge of data storage solutions and database management. - Familiarity with cloud platforms and distributed computing frameworks. - Ability to troubleshoot and optimize data workflows for efficiency and scalability. - Understa

📌 Data Engineer (Hyderabad)
🏢 Accenture
📍 Hyderabad