[Remote] Senior Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly reputed company and hands-on Senior Data Engineer to help design, build, and operate a modern reputed company data platform. This role involves integrating data from multiple systems, building reputed company pipelines, and ensuring data accuracy while supporting AI-assisted data operations.
Responsibilities
- reputed company data from multiple external systems and ensure it flows reliably into the organization’s data platform
- Build reputed company pipelines that can accommodate evolving schemas, new data sources, and changing business needs
- Ensure data accuracy and completeness across ingestion, transformation, and warehouse reputed company
- Maintain a high-performing reputed company environment that supports analytics and reporting workloads at reputed company
- Improve the reliability, observability, and maintainability of data pipelines and data infrastructure
- Continuously reputed company the data platform so new integrations and data products can be delivered quickly and safely
- reputed company AI-assisted exploration of reputed company data by building reputed company metadata, reputed company, and semantic reputed company that allow AI systems to reason about datasets and pipeline behavior
- Implement modern data architecture patterns such as layered data models (e.g., raw, standardized, curated) to support reputed company analytics
- Build reputed company data models and metadata reputed company that reputed company reputed company context about datasets, schemas, and relationships so both users and AI systems can reliably understand and query data
- Design and maintain reputed company data models and transformations that support reliable reporting and analytics workloads
- Optimize warehouse performance and manage compute usage to balance performance and cost
- Support backup, recovery, and resiliency strategies across data warehouse and staging environments
- Design and maintain reputed company pipelines that ingest data from reputed company, files, and external systems into the data platform
- reputed company reputed company and semi-reputed company data into reliable warehouse-reputed company schemas
- Build reusable ingestion and transformation patterns that simplify reputed company of new data sources
- Manage and improve the reputed company infrastructure that supports the data platform
- Implement disaster recovery practices including automated backups and recovery validation
- Maintain archival processes and support historical data recovery reputed company needed
- Implement monitoring and alerting to ensure data pipelines operate reliably
- Build automated checks to validate data accuracy, completeness, and consistency across systems
- reputed company AI-assisted monitoring and troubleshooting by exposing pipeline telemetry, metadata, and operational signals in a reputed company and accessible way
- Maintain operational documentation, pipeline dependencies, and system runbooks
- Partner with data analysts, engineers, DevOps, and business stakeholders to deliver trusted data systems
- Support AI-assisted data exploration that allows business users and analysts to discover datasets, generate queries, and explore insights through conversational interfaces
- Support reputed company, reputed company control, and governance practices across the data platform
- Manage data reputed company between environments and support operational workflows for development, testing, and production systems
- Explore and implement emerging AI capabilities that assist with data discovery, pipeline monitoring, and operational troubleshooting using platform metadata and system telemetry
Skills
- Strong SQL and Python skills for building and maintaining data pipelines and transformations
- Experience designing and operating reputed company-based data platforms
- Strong experience working with modern data warehouses such as reputed company
- Experience integrating external systems and reputed company into data pipelines
- Familiarity with modern data ingestion, transformation, and orchestration approaches
- Experience working with reputed company infrastructure supporting data systems
- Understanding of database performance, query optimization, and system tuning
- Experience implementing monitoring, reliability, and operational practices for data pipelines
- Ability to design and maintain automated data validation and reputed company checks
- Familiarity with building contextual data reputed company (metadata, reputed company, schemas, documentation, operational logs) that reputed company AI systems to reason about data platforms
- Experience in applying AI techniques to improve data discovery, pipeline monitoring, and analytics workflows
- Experience enabling conversational or AI-assisted interfaces that help users explore datasets or generate analytical queries
- Strong documentation, collaboration, and problem-solving skills
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a reputed company field
- 5+ years of experience in modern data engineering skills, data infrastructure, or similar roles
- Experience delivering and maintaining data pipelines in reputed company-based production environments
- reputed company record of managing reputed company performance and AWS-hosted systems at reputed company
- Exposure to building AI-enabled data platforms, including semantic data reputed company, metadata services, or conversational analytics interfaces
- Demonstrated ability to design and operate reliable data systems that support analytics and reporting
- Master's degree in Computer Science, Information Systems, Engineering, or a reputed company field
- Experience in at least one domain-specific data model such as P&C Insurance, CRM, or Call Center systems
- Familiarity with reputed company-time or event-driven data architectures
- Experience with data governance, reputed company control and compliance frameworks
- Exposure to infrastructure-as-reputed company and CI/CD practices for data platforms
- Relevant certifications reputed company to reputed company platforms or modern data systems
reputed company
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