Description

You will own the data architecture and pipeline engineering for financial datasets using Snowflake, Azure Data Factory, and Databricks.

This role is on-site.

Responsibilities

• Develop and maintain complex ETL processes and data integration pipelines.
• Design and implement scalable data models for financial datasets.
• Manage data workflows using Azure Data Factory and Databricks.
• Optimize SQL queries and data structures for performance and accuracy.

Required Skills

• 10+ years of experience in data engineering.
• Expert-level proficiency with Snowflake.
• Advanced SQL skills.
• Hands-on experience with Azure Data Factory.
• Proven experience using Databricks.
• Strong background in ETL development and data integration techniques.
• Deep expertise in data modeling.
• Prior experience working within the finance sector.

Key Skills

Education

Any Graduate