Data Developer at Visier - Hybrid Role

Lead Visier's data architecture as a Data Developer in a hybrid work environment. Drive enterprise data solutions with your expertise in data engineering and cloud technologies.

In this senior role at Visier, you will be responsible for shaping the data architecture necessary for our internal AI transformation. With over 5 years of experience in data engineering, you will design robust data ingestion pipelines and create secure Data Ops platforms. Your deep knowledge of relational and vector data stores will ensure the effective management of enterprise data.

Key Responsibilities:

• Define foundational data architecture across multiple storage types

• Build scalable ingestion pipelines and star schemas

• Own data layer for RAG-based knowledge base engine

• Develop transformation jobs to clean and deduplicate data

• Implement automated testing and CI/CD in data workflows

Requirements:

• 5+ years of data engineering experience

• Proficiency in cloud data warehouses like Snowflake

• Experience with vector databases and embedding pipelines

• Strong skills in Python and Git for Data Ops

• Understanding of AI data security principles

Shape the future of data solutions with Visier by applying your engineering expertise.
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