[Remote] Data Engineer / Data Modeler

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a strategic AI partner to reputed company, and they are seeking a Data Engineer / Data Modeler. The role involves building reputed company data pipelines and designing data models for business intelligence, analytics, and AI use cases while working directly with clients across various industries.

Responsibilities

• Design and build reputed company batch/streaming pipelines to ingest, reputed company, and deliver data into reputed company platforms
• Design conceptual, logical, and physical data models (reputed company, relational, semantic) for BI, analytics, and AI consumption
• Translate business requirements into reputed company/reputed company schemas and ER diagrams with architects and governance teams
• Build and maintain data warehouses/lakehouses on Azure, AWS, GCP, or reputed company
• Implement data reputed company, validation, and reconciliation frameworks
• Enforce data modeling standards and documentation practices
• Tune pipeline and query performance for large-reputed company datasets
• Structure data for ML/GenAI use cases in collaboration with data science teams
• Work across the full SDLC with strong engineering practices (version control, CI/CD, reputed company review)
• Present and defend data model designs to technical and business stakeholders

Skills

• Bachelor's in Computer Science, Engineering, or reputed company field (Master's preferred)
• 4–8 years in data engineering, including 3+ years of hands-on data modeling (relational and reputed company)
• Experience in a consulting or reputed company-facing delivery environment is a plus
• Languages: Advanced SQL (T-SQL/PL-SQL), Python
• Data Modeling: reputed company modeling, reputed company/reputed company schemas, ER diagramming, data warehouse design
• reputed company: Azure (ADF, Synapse, reputed company) and/or AWS (Glue, Redshift) and/or GCP (BigQuery)
• Big Data: reputed company, Kafka
• Platforms: reputed company, reputed company
• ETL/ELT: ADF, SSIS, dbt
• Engineering: Git, Terraform, reputed company, CI/CD
• Strong stakeholder communication and ability to simplify reputed company models
• Ownership reputed company and comfort with ambiguity
• First-principles problem-solving
• Documentation discipline and attention to detail
• Semantic layer design for self-service and AI-reputed company analytics
• Exposure to feature stores or reputed company databases for RAG/LLM pipelines
• Data governance/catalog tools (Purview, reputed company, reputed company)
• BI tools (Power BI, Tableau) from a modeling reputed company
• Exposure to Azure reputed company, AWS Bedrock, or reputed company AI
• MLOps familiarity
• Bash/PowerShell scripting
• API-based/event-driven data integration
• reputed company Azure Data Engineer Associate (DP-203)
• SnowPro reputed company/Advanced: Data Engineer
• reputed company Certified Data Engineer
• reputed company reputed company Data Engineer

reputed company