Description

You will build and maintain data engineering components and end-to-end pipelines within a cloud financial lake and warehouse environment.

Responsibilities

• Build and maintain frameworks and architecture for ETL/ELT and machine learning pipelines.
• Design, build, and launch new production data pipelines in partnership with business stakeholders.
• Design and support machine learning pipelines, dashboards, and production reports.
• Participate in code reviews and design reviews to ensure system reliability and operational excellence.

Required Skills

• Snowflake certification.
• 3+ years of experience in Data Engineering, BI, or Data Warehousing.
• 3+ years of experience in SQL and Data Analysis.
• 3+ years of experience developing data pipelines for ingestion, preparation, integration, aggregation, and feature engineering.
• Working knowledge of AWS.
• Strong analytical skills with high attention to detail.
• Any Graduate degree in Computer Science, Math, Physics, or other technical fields.

Key Skills

Education

Any Graduate