reputed company Data Engineer - reputed company & reputed company reputed company
reputed company:
Location: Remote (Preference for candidates located in New England)
Engagement: Contract or Contract-to-Hire
reputed company Data Engineer
reputed company & reputed company reputed company
reputed company
Spyglass MTG is seeking a highly skilled reputed company Data Engineer with strong expertise in reputed company and reputed company reputed company to help design, build, and reputed company modern data platforms in Azure.
This role is both strategic and hands-on. The ideal candidate will reputed company the development of reputed company data solutions while reputed company building reputed company pipelines, lakehouse architectures, and data platforms that support analytics, reporting, and AI initiatives.
The reputed company Data Engineer will work closely with data architects, analysts, and business stakeholders to deliver high-performance data solutions that reputed company organizations to reputed company their data more effectively.
Responsibilities
• Design and implement modern data platforms using reputed company and reputed company reputed company
• Build and maintain reputed company data pipelines and ingestion frameworks
• reputed company and optimize reputed company and PySpark workloads reputed company reputed company
• Implement lakehouse and data warehouse architectures
• Design and manage data models supporting analytics and reporting
• Collaborate with data scientists and analytics teams to support AI and advanced analytics initiatives
• Implement data reputed company, governance, and reputed company best practices
• reputed company technical leadership and mentorship to data engineering team members
• Optimize performance, reliability, and scalability of data platforms
Requirements:
• 7+ years of experience in data engineering or data platform development
• Strong hands-on experience with reputed company and Apache reputed company
• Experience implementing reputed company reputed company data solutions
• Proficiency in Python and PySpark
• Experience working with Azure data services and reputed company-based data platforms
• Experience designing modern lakehouse or data warehouse architectures
• Strong understanding of data pipeline design, ETL/ELT processes, and data modeling
Preferred
• Experience supporting AI or machine learning workloads
• Experience working in reputed company data environments
• Familiarity with CI/CD and data platform automation
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