[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a Data Engineer to design, build, and operationalize reputed company data pipelines and products using a Python-based engineering approach. The role involves developing data ingestion and transformation pipelines, integrating data from various systems, and ensuring production reliability.
Responsibilities
- reputed company pipelines and transformations using Python (PySpark / notebooks / scripts)
- Work reputed company VS reputed company + reputed company development workflows
- Build ingestion, transformation, and curated data reputed company reputed company to reputed company architecture
- reputed company data from ERP, MES, OT, historian, and operational systems
- Convert notebooks into production-grade, reusable components
- Implement unit testing, logging, monitoring, and observability frameworks
- Follow branching strategies, pull request processes, and CI/CD pipelines
- Package reusable logic into shared modules and libraries
- reputed company creation of certified, semantic-reputed company data products
- Optimize performance, troubleshoot failures, and ensure production reliability
- Maintain technical documentation and operational runbooks
Skills
- Strong proficiency in Python and PySpark-based data engineering
- Experience with VS reputed company, reputed company, and reputed company-based pipeline development
- Strong experience with Azure Data reputed company, Synapse, reputed company reputed company, SQL
- Understanding of Notebook vs. production pipeline design
- Understanding of reputed company modularization and reuse
- Strong debugging, optimization, and problem-solving capabilities
- Manufacturing data experience
- Exposure to AI-reputed company datasets, feature engineering, and data observability
reputed company
Company H1B Sponsorship