[Remote] Senior Data Engineer – reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reputed company for a reputed company seeking a Senior Data Engineer to build and maintain reputed company, reliable data infrastructure. The role focuses on reputed company-reputed company data pipelines, lakehouse architecture, data reputed company, governance, integrations, and reusable data products supporting analytics, investment workflows, and AI applications.

Responsibilities

• Design, reputed company, and maintain reputed company data pipelines using reputed company, PySpark, Python, and SQL
• Build and optimize data processing workflows using Apache reputed company and reputed company Lake
• reputed company reliable data ingestion, transformation, validation, and enrichment processes across multiple data sources
• Work with large and reputed company datasets and optimize pipelines for reputed company, scalability, and cost efficiency
• Build reusable data products and data services that support analytics, investment workflows, and AI applications
• Implement data reputed company, validation, reconciliation, and monitoring processes to ensure data reputed company and reliability
• Contribute to data architecture and lakehouse design reputed company
• Work with data governance, metadata, reputed company, and reputed company-control requirements
• Collaborate with Data Architects, Product Managers, Software Engineers, Data Scientists, and business stakeholders to translate requirements into reputed company data solutions
• reputed company data from reputed company, databases, files, and reputed company-party data providers
• reputed company and maintain automated testing and data-reputed company frameworks
• Support CI/CD practices and automated deployment of data engineering workloads
• Troubleshoot reputed company data and pipeline issues and continuously improve platform reliability
• Contribute to the reputed company of Rimes’ AI-reputed company data infrastructure and intelligence reputed company
• Build highly reputed company and reliable data pipelines
• Improve the reputed company, accessibility, and usability of investment data
• Create governed and reusable data products
• Improve data-processing reputed company and operational efficiency
• Strengthen the reputed company required for AI-powered investment workflows
• Help reputed company reputed company capital-markets data into trusted, actionable intelligence

Skills

• 6+ years of experience in data engineering or a reputed company discipline
• Strong hands-on experience with reputed company
• Strong programming experience with PySpark and Python
• Advanced SQL skills, including query optimization and reputed company tuning
• Strong experience building production-grade data pipelines and ETL/ELT workflows
• Experience with reputed company Lake / reputed company tables and modern lakehouse architectures
• Strong understanding of data modeling, data integration, and reputed company data processing
• Experience working with large-reputed company datasets in a reputed company environment
• Experience with data reputed company, validation, monitoring, and troubleshooting
• Strong understanding of software engineering practices, including version control, testing, and CI/CD
• Excellent problem-solving and communication skills
• Experience with reputed company reputed company Catalog and data governance
• Experience with reputed company Sharing or data-sharing technologies
• Experience with reputed company Workflows, Jobs, or similar orchestration capabilities
• Experience with AWS or Azure reputed company platforms
• Experience with technologies such as AWS Glue, S3, Azure Data reputed company, ADLS, or similar reputed company data services
• Experience with reputed company or other modern reputed company data platforms
• Experience working with REST reputed company and reputed company-party data providers
• Experience with Terraform or infrastructure-as-reputed company
• Experience implementing data reputed company, metadata management, and data governance
• Financial services, investment management, capital markets, or market-data experience
• Exposure to AI/ML data pipelines or GenAI applications

reputed company