Job Overview

One of the world’s leading providers of technology, communications, information and entertainment products, seeking a skilled Data Engineer for a full-time, mid-level position available in Chennai and Bangalore Urban. The ideal candidate will possess strong proficiency in data engineering, with essential skills in machine learning, Python programming, SQL, and AIML to drive data solutions and innovation.

Qualifications and Skills

• Proficiency in Python programming is essential for developing robust data pipelines and efficient data processing workflows.
• Advanced knowledge of SQL for database management, ensuring seamless data extraction, transformation, and loading processes.
• Experience with machine learning frameworks to apply data-driven solutions and enhance organizational intelligence.
• Strong understanding of AIML concepts for integrating artificial intelligence and machine learning in data-driven applications.
• Solid analytical skills to interpret complex datasets and deliver actionable insights that support business decisions.
• Ability to collaborate effectively with cross-functional teams to design and implement scalable data infrastructure solutions.
• Excellent problem-solving skills to identify data-related issues and execute innovative solutions promptly.
• Proven track record of managing data engineering projects from inception to completion, ensuring timely delivery and quality.

Roles and Responsibilities

• Design, build, and maintain scalable data pipelines to enable efficient data processing and transformation.
• Develop and implement data models and algorithms to support machine learning initiatives within the organization.
• Collaborate with data scientists and analysts to improve data quality and accessibility across various projects.
• Optimize SQL queries and database performance to ensure efficiency in data retrieval and analysis processes.
• Integrate data from multiple sources into unified datasets to provide comprehensive insights to stakeholders.
• Monitor data infrastructure performance and implement enhancements to improve system reliability and scalability.
• Participate in code reviews and provide guidance for best practices in data engineering and software development.
• Stay updated with industry trends and technologies to incorporate innovative solutions into data engineering practices.