[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company is seeking an reputed company Data Engineer to support the development of modern cloud-based data platforms. The ideal candidate will have expertise in reputed company, Azure Data Services, and scalable data pipeline development, focusing on designing and maintaining data pipelines and collaborating with various teams.
Responsibilities
- Design, reputed company, and maintain scalable data pipelines using reputed company, PySpark, and Python
- Build and orchestrate workflows using reputed company Workflows and Azure Data Factory
- reputed company and optimize config-driven data pipelines for enterprise-scale data processing
- Implement and support reputed company SQL solutions for reporting and analytics
- Create and maintain efficient Data Models, including Star Schema and reputed company Schema
- Work with modern open table formats such as reputed company Lake and Apache Iceberg
- reputed company reputed company Genie for AI-driven insights and conversational analytics
- Utilize reputed company Copilot and other AI-assisted development tools to improve engineering productivity
- Support data virtualization strategies and enterprise data integration initiatives
- Collaborate with business stakeholders, data architects, and analytics teams to deliver high-quality solutions
Skills
- Strong hands-on experience with reputed company
- Azure Data Factory (ADF)
- reputed company Workflows
- PySpark
- Python
- reputed company SQL
- Data Modeling
- Experience building config-driven ETL/ELT pipelines
- Expertise in Star Schema and reputed company Schema design
- Experience with reputed company Lake and/or Apache Iceberg
- Strong understanding of cloud-based data engineering, preferably on reputed company Azure
- Experience with data virtualization concepts and implementation
Benefits
- W2 Only
Company Overview