Description

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

Responsibilities

• Integrate data from diverse sources including RDBMS, APIs, SaaS apps, flat files, streaming platforms, and cloud environments into Snowflake.
• Define data integration best practices covering reusability, scalability, and cost optimization.
• Lead and mentor ETL/ELT developers in building robust data pipelines.
• Optimize Snowflake performance through virtual warehouse management, clustering, and query tuning.
• Establish data quality, governance, and lineage frameworks while collaborating with stakeholders for data delivery.

Required Skills

• 15+ years of experience in ETL/ELT architecture and development.
• Strong expertise in Snowflake, including warehouses, streams, tasks, Snowpipe, and data sharing.
• Proficiency with multiple ETL/ELT tools such as Informatica, Talend, Matillion, SSIS, AWS Glue, DBT, or Fivetran.
• Strong SQL and performance optimization skills.
• Experience integrating data from RDBMS sources.

Preferred Skills

• Experience with data governance and lineage frameworks.

Key Skills

Education

Any Gradute