ETL Testing Professional

Job Summary

We are looking for a Snowflake Data Engineer 58 years of experience to design optimize and scale modern data solutions on the Snowflake Data Cloud You will build high-performance pipelines lead legacy-to-cloud migrations and implement cost-efficient warehousing strategies

Responsibilities

• ETL/ELT Pipelines: Build and automate robust data integration pipelines using Python SQL Snowpipe and tools like dbt

• Performance Costs: Optimize query execution manage warehouse sizing and implement resource monitors to control Snowflake spend

• Data Modeling Migrations: Design dimensional data models star schema and lead legacy-to-Snowflake database migrations

• Security Governance: Set up secure Role-Based Access Controls (RBAC), data masking, and row-level security policies

• Tech Stack: Expert SQL strong Python and proficiency in AWS Azure or GCP

• Modern Data Stack: Practical experience with dbt Airflow or Git-based CICD pipelines

• Bonus: SnowPro Core or Advanced Certification is highly preferred

  Requirements

• Design, optimize, and scale modern data solutions on the Snowflake Data Cloud

• Build high-performance pipelines

• Lead legacy-to-cloud migrations

• Implement cost-efficient warehousing strategies

• Expert SQL and strong Python

• Proficiency in AWS, Azure or GCP

• Experience with dbt, Snowpipe, and Git-based CI/CD pipelines

• SnowPro Core or Advanced Certification is highly preferred

  Skills

• Snowflake

• SQL

• Python

• dbt

• Snowpipe

• AWS

• Azure

• GCP

• Airflow

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.