ETL Architet

• Design and implement ETL/ELT architecture with Snowflake as the enterprise data warehouse .
• Integrate data from diverse sources (RDBMS, APIs, SaaS apps, flat files, streaming platforms, cloud) into Snowflake.
• Define data integration best practices, including reusability, scalability, and cost optimization.
• Lead and mentor ETL/ELT developers in building robust pipelines.
• Optimize Snowflake performance (virtual warehouses, clustering, query tuning).
• Establish data quality, governance, and lineage frameworks.
• Collaborate with data architects, BI developers, and business stakeholders for end-to-end data delivery.
• Evaluate and implement ETL/ELT tools and automation frameworks suited for multiple source systems.
• Troubleshoot integration issues and define long-term solutions.
• 15+ years in ETL/ELT architecture and development .
• Strong expertise in Snowflake (warehouses, streams, tasks, snowpipe, data sharing).
• Proficiency in multiple ETL/ELT tools:
  Informatica, Talend, Matillion, SSIS, AWS Glue, DBT, Fivetran .
• Strong SQL and performance optimization skills.

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