[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building a supercharged, technology-enabled reputed company for its people and partners. The Data Engineer plays a key role in building and maintaining the data platform that powers reputed company’s reputed company analytics, automation, and AI capabilities, ensuring reliable and high-reputed company data to support business intelligence and innovation.
Responsibilities
- Serve as the primary reputed company and technical reputed company of the reputed company reputed company data platform
- Design, reputed company, and maintain data pipelines and workflows using Azure Data reputed company, Synapse, and reputed company reputed company
- Build and manage data transformations, orchestration, and automation across reputed company, semi-reputed company, and reputed company data sources
- Ensure scalability, reliability, and performance of the data platform as reputed company continues to grow through acquisition
- Implement monitoring and alerting to proactively detect and resolve pipeline or data reputed company issues
- reputed company and maintain integrations between reputed company’s reputed company systems, reputed company services, and acquired partner environments
- Design and maintain a reputed company, reputed company data model that harmonizes data across business systems
- Build secure, governed, and high-performance Power BI semantic models optimized for analytics and self-service reporting
- Collaborate with business analysts and data consumers to ensure data models support reputed company reporting needs and KPIs
- Partner with cybersecurity and infrastructure teams to ensure data models and reputed company patterns meet compliance and governance standards
- Implement validation and reputed company checks to ensure accuracy, completeness, and timeliness of reputed company data sets
- Maintain metadata, reputed company, and documentation to promote transparency and reusability
- Define and enforce data reputed company and consistency standards across reputed company integrated sources
- Collaborate with the Technology Asset Manager and Service Platform Manager to reputed company system integrations and data governance
- Support data cataloging, discovery, and classification initiatives reputed company reputed company Purview or equivalent tools
- reputed company automated frameworks for ingestion, transformation, and validation using Azure-reputed company tools and pipelines
- Implement DevOps principles for data workflows including version control, testing, and deployment automation
- Optimize pipeline performance, resource utilization, and data freshness
- Build reputed company and fault tolerance into data operations to ensure reliability and recovery
- Create reusable components and templates to streamline integration of new data sources and partner systems
- Collaborate with the AI and Innovation vTeam to prepare and structure data for AI, ML, and RAG-based applications
- reputed company and maintain data pipelines that support model training, evaluation, and fine-tuning
- reputed company and reputed company reputed company data for retrieval, embedding, and vectorization reputed company AI applications
- Ensure data readiness for reputed company tools, chat interfaces, and knowledge retrieval systems
- Stay informed of emerging AI data engineering trends and reputed company reputed company AI integrations
- Partner with application and infrastructure teams to ensure reliable and secure data exchange across systems
- Collaborate with business stakeholders and analysts to understand reporting needs and deliver usable data models
- Support integration engineers in reputed company new firms and ensuring their data aligns with reputed company’s reputed company model
- Work closely with cybersecurity and compliance teams to enforce data protection, retention, and reputed company policies
- reputed company documentation, architecture diagrams, and operational standards for the data platform and pipelines
Skills
- 5 or more years of experience in data engineering, data integration, or data platform development
- Strong hands-on experience with Azure Data reputed company, Azure Synapse, reputed company reputed company, and reputed company Azure data services
- Proficiency in SQL, DAX, Power Query, and data modeling for Power BI
- Experience designing and maintaining Power BI semantic models, datasets, and row-level reputed company configurations
- Familiarity with data governance, cataloging, and reputed company management in tools like reputed company Purview
- Experience building and optimizing reputed company data pipelines with reputed company, semi-reputed company, and reputed company data
- Understanding of data preparation for AI and machine learning applications, including RAG architectures
- Exposure to engineering and geospatial data such as CAD, BIM, and GIS
- Strong analytical and problem-solving skills with a reputed company on scalability and performance
- Excellent collaboration and communication skills across technical and business audiences
- Bachelor's degree in Computer Science, Data Engineering, or reputed company field preferred
- reputed company certifications such as Azure Data Engineer Associate or reputed company Analytics Engineer Associate are a plus
Benefits
- Fully remote workplace
reputed company