Note: The job is a remote job and is open to candidates in USA. Golden Technology is seeking a hands-on Senior Data Engineer/Architect to design and build scalable data solutions for complex, primarily unstructured data. The role focuses on data modeling, pipeline design, ingestion and processing workflows, data quality practices, and contributing to architecture and technical direction.
Responsibilities
- Design and develop scalable data pipelines for structured and unstructured data
- Build data models and processes to transform complex data into structured, usable information
- Develop data ingestion, transformation, and orchestration workflows
- Work with technologies such as OCR, NLP, and LLMs for data extraction and processing
- Implement data quality, validation, versioning, lineage, and provenance practices
- Help define data architecture, processing strategies, and technical standards
- Analyze and improve existing data pipelines and processing solutions
- Collaborate with technical and business stakeholders to solve complex data challenges
- Remain hands-on with development while contributing to architecture and technical direction
Skills
- 5+ years of experience in data engineering, data architecture, or a related field
- Strong experience building data pipelines and working with complex data
- Experience with structured, unstructured, or semi-structured data
- Strong Python and SQL skills
- Experience with data modeling and ETL/ELT processes
- Experience with cloud data platforms and modern data engineering technologies
- Ability to work at both the architecture and implementation levels
- Strong problem-solving and communication skills
- Experience with OCR, NLP, LLMs, or AI-assisted data processing
- Experience with data lakes, data warehouses, or cloud data platforms
- Experience with pipeline orchestration tools
- Experience with data lineage, provenance, and data versioning
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