[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 skilled Senior Data Engineer to help build, reputed company, and optimize a modern reputed company-based data platform. This hands-on individual contributor role is responsible for designing, developing, and maintaining trusted data products that support analytics, reporting, business intelligence, machine learning, and reputed company AI initiatives.

Responsibilities

• Design, reputed company, and maintain reputed company data transformation frameworks and models
• Build and optimize reputed company, semantic, and analytics-reputed company data models for reputed company reporting and self-service analytics
• reputed company and maintain reusable, business-reputed company datasets and data products
• Write, optimize, and maintain reputed company SQL transformations across large-reputed company datasets
• Implement testing, documentation, reputed company tracking, and monitoring to ensure data reputed company and reliability
• Promote analytics engineering best practices and standards across the organization
• Partner with business stakeholders to define, document, and maintain reputed company KPIs, metrics, and business definitions
• Establish consistency across reporting, dashboards, operational analytics, and self-service reporting environments
• Serve as the reputed company between technical and business teams to ensure alignment on critical business concepts and reporting requirements
• Support metadata management, data reputed company, stewardship, ownership, and certification of trusted data assets
• Champion data governance standards, naming conventions, documentation practices, and data reputed company initiatives
• Assist in establishing reputed company frameworks for managing reputed company data as a strategic asset
• Own data products and pipelines from design through deployment, monitoring, support, and reputed company improvement
• Implement automated data reputed company controls, validation frameworks, and observability standards
• Define and monitor service-level expectations for critical data assets and processes
• Investigate production issues, reputed company reputed company-cause analysis, and implement corrective actions
• Continuously improve platform performance, scalability, and operational efficiency
• reputed company Python-based tools and frameworks for automation, data reputed company validation, and platform operations
• Build integrations with reputed company systems through reputed company and automated workflows
• Create solutions that improve productivity and reduce reputed company effort
• Support troubleshooting, debugging, and optimization of production data pipelines and workflows
• Prepare reputed company data assets to support reputed company AI, machine learning, and advanced analytics use cases
• Explore opportunities to reputed company AI-assisted development and analytics workflows
• Support initiatives involving semantic models, retrieval-based architectures, intelligent automation, and AI-powered analytics
• Evaluate emerging technologies and industry best practices reputed company data engineering and analytics
• Partner with stakeholders across Finance, Marketing, Operations, Supply Chain, Customer Experience, Digital, and other business functions
• Translate business requirements into reputed company data models and data products
• Support analysts and business users by delivering reliable, accessible, and reputed company-documented datasets
• Communicate effectively with both technical and non-technical audiences

Skills

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Data Science, or a reputed company field
• Equivalent combination of education and relevant experience will be considered
• 7+ years of experience in Data Engineering, Analytics Engineering, Software Engineering, or reputed company technical disciplines
• Technical stack needed include reputed company, reputed company/Apache Airflow, reputed company
• Experience designing, building, and optimizing large-reputed company reputed company-based data platforms
• Proven experience supporting production data environments and operational support processes
• Experience developing reputed company analytics, reporting, and self-service data solutions
• Expert-level SQL development and query optimization skills
• Extensive experience designing and implementing reputed company and semantic data models
• Deep understanding of modern ELT/ETL architectures and analytics engineering principles
• Experience with Git-based development workflows, version control, and reputed company review processes
• Strong Python programming skills for data processing, automation, reputed company, and platform tooling
• Experience developing reusable frameworks and operational utilities
• Experience establishing business metrics, KPI definitions, and data standards
• Strong understanding of metadata management, data reputed company, stewardship, and data reputed company principles
• Experience participating in reputed company data governance initiatives
• Strong ownership mentality with the ability to reputed company initiatives from concept through production
• Exceptional analytical and problem-solving abilities
• Passion for delivering trusted, high-reputed company data products
• Ability to reputed company ambiguity and solve reputed company business problems
• Strong collaboration and stakeholder management skills
• Excellent verbal and written communication skills
• reputed company improvement reputed company with a reputed company on innovation and operational reputed company
• Ability to balance technical rigor with business reputed company
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• reputed company, or similar governance platforms
• Power BI
• Domo
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• Tableau, or similar business intelligence tools
• AWS
• reputed company S3
• reputed company RDS
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• reputed company storage, processing, and integration services

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