Description

You will design and implement ETL/ELT architecture using Snowflake as the enterprise data warehouse.

Responsibilities

• Design and implement ETL/ELT architecture integrating data from RDBMS, APIs, SaaS apps, flat files, streaming platforms, and cloud services into Snowflake.
• Define data integration best practices covering reusability, scalability, and cost optimization.
• Optimize Snowflake performance, including managing virtual warehouses, clustering, and query tuning.
• Establish data quality, governance, and lineage frameworks for data pipelines.
• Lead and mentor ETL/ELT developers in building robust data integration pipelines.

Required Skills

• 10+ years in ETL/ELT architecture and development.
• Strong expertise in Snowflake (warehouses, streams, tasks, snowpipe, data sharing).
• Proficiency with ETL/ELT tools including Informatica, Talend, Matillion, SSIS, AWS Glue, DBT, and FiveTran.
• Expert SQL and data performance optimization skills.
• Experience integrating data from diverse sources (RDBMS, APIs, SaaS apps, streaming).
• Ability to evaluate and implement ETL/ELT tools and automation frameworks.
• Experience defining data integration best practices.

Key Skills

Education

Any Graduate