Data Engineer

About the role

Conduct in-depth exploratory data analysis to uncover trends and patterns in structured and unstructured datasets. Translate complex business requirements into robust data solutions, integrating insights from diverse non-ERP sources with our Enterprise Data Warehouse (EDW). Design, build, and optimize scalable ELT/ETL pipelines to ingest, transform, and publish data into the Snowflake Data Cloud.

What you'll do

• Conduct in-depth exploratory data analysis to uncover trends and patterns in structured and unstructured datasets
• Translate complex business requirements into robust data solutions, integrating insights from diverse non-ERP sources with our Enterprise Data Warehouse (EDW)
• Design, build, and optimize scalable ELT/ETL pipelines to ingest, transform, and publish data into the Snowflake Data Cloud
• Develop and maintain high-quality, analytics-ready data models using dbt, emphasizing modular design, reusability, rigorous testing, and maintainability
• Design and implement a reusable semantic layer that adheres to architectural standards and supports various consumption patterns (AI, agentic solutions, dashboards)

What you need

• 1–3 years in data science & ai
• ETL
• Data warehousing
• Snowflake
• dbt
• Data analysis
• ERP
• Any graduate