Lead Data Engineer - Snowflake Platform

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

• Establish enterprise-scale data integration procedures, data pipelines and frameworks across the data development life cycle
• Suggest and implement appropriate technologies to deliver resilient, scalable, and future-proof data solutions
• Create data ingestion pipelines in data warehouses and other large-scale data platforms
• Creating scheduled as well as trigger-based ingestion patterns using scheduling tools
• Create performance optimized DDLs for any row-based or columnar databases such as Snowflake, Oracle, Postgres database per Logical Data Model

What you need

• 10–18 years in data science & ai
• Snowflake
• ETL
• dbt
• Qlik
• SQL
• Data warehousing
• Any graduate

Good to have

• Python
• AWS
• Redshift
• Root cause analysis
• CI/CD
• Linux