Data Engineer II - Snowflake and DBT

About the role

Responsible for designing and building data pipelines for enterprise data through ETL/ELT processes. The data engineering team is community of dedicated professionals committed to designing, building, and maintaining data platform solutions for the organization. Enterprise data warehouse supports several critical business functions for the bank including Regulatory Reporting, Finance, Risk steering, and Customer 360.

What you'll do

• Responsible for building and maintaining data platform that supports data integrations for Enterprise Data Warehouse
• Create data ingestion pipelines in data warehouses and other large-scale data platforms
• Create Data Ingestion pipeline for a variety of sources – File (Flat, delimited, Excel), DB, API (With Apigee integration), and SharePoint
• Build reusable Data pipelines / frameworks using Python
• Creating scheduled as well as trigger-based ingestion patterns using scheduling tools

What you need

• 5–9 yrs of experience
• Snowflake
• dbt
• ETL
• SQL
• Python
• Data warehousing
• Any graduate

Good to have

• CI/CD
• Git
• AWS
• Data modelling
• Airflow
• Root cause analysis