Data Engineers required ASAP in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
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.
Large Language Models (LLMs)
Minimum 7.5 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 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. Collaboration with different teams to align data strategies and troubleshoot data-related challenges is also a key part of daily responsibilities, contributing to the overall success of data operations.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the development and optimization of data pipelines to support business needs.
Ensure data governance and compliance standards are met within the team s deliverables.
Coordinate cross-functional efforts to align data engineering initiatives with organizational goals.
Must To Have Skills: Proficiency in Large Language Models (LLMs).
Experience in designing and implementing scalable data pipelines and ETL processes.
Strong knowledge of data architecture principles and best practices for data quality assurance.
Familiarity with cloud-based data platforms and distributed computing frameworks.
Ability to troubleshoot complex data issues and optimize data workflows for performance.
Experience working with diverse data sources and formats to support data integration.
The candidate should have minimum 7.5 years of experience in Large Language Models (LLMs).
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