Consultant Data Engineer
- Data Engineer
- Other places
- 06/12/2024
- -
Technical Task Management: Assess and capture business issues and accurately translate them into structured technical tasks for the data engineering team. Quickly adapt to industry standards and develop efficient work plans.
Data Solutions Development: Design, build, and launch sophisticated full-stack data and business intelligence solutions. Extend the extraction, storage, transformation, and visualization layers to optimize performance.
Big Data Environment Support: Build environments that support analytics on various big data platforms, evaluate new technologies, and advocate for their adoption.
Data Pipeline Optimization: Focus on identifying and implementing process improvements to enhance the efficiency of data pipelines and the quality and reliability of data.
Stakeholder Collaboration: Work with diverse teams to create and modify data pipelines that meet business needs and develop tools for data access used by analytics and data science teams.
Education: Bachelor’s degree in Computer Science Engineering, or equivalent relevant experience. Certifications in cloud technologies, especially Azure, are advantageous.
Prior Experience:
Personal Attributes: Demonstrate personal drive, manage demanding situations effectively, and deliver results within tight deadlines.
Adaptability: Flexibility to adapt quickly to a variety of projects and work environments, and manage multiple parallel projects.
Communication: Excellent command over both written and verbal communication.
Team Collaboration: Be a proactive team player with the ability to work independently as needed.
At KPMG India, we recognize and value your passion for driving business results through innovative data engineering solutions. Join our dynamic team as a Consultant Data Engineer and propel your career to new heights amidst professionals dedicated to excellence and innovation.