Position Details
About this role
This role involves designing and maintaining data ingestion pipelines and transformation workflows to convert raw interaction data into structured, queryable formats for manufacturing intelligence.
Key Responsibilities
- Build ingestion pipelines
- Design transformation workflows
- Convert unstructured data
- Maintain PostgreSQL architecture
- Collaborate with AI/ML engineers
Technical Overview
Stack includes Python, SQL, PostgreSQL, dbt, SQLMesh, and cloud storage, focusing on data pipelines, normalization, and semantic data transformation.
Ideal Candidate
The ideal candidate is a data engineer with 2+ years experience in Python, SQL, and ETL/ELT frameworks, capable of designing and maintaining data pipelines and structured transformation workflows for manufacturing intelligence.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python or SQL, No experience with PostgreSQL or data pipelines, Inability to work remotely, No familiarity with structured data or data normalization
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