Snowflake Data Engineer

Project Role : Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, an dimplement ETL (extract, transform and load) processes to migrate and deploy data across systems

.Must have skills : Data Building Tool

Summary:

We are looking for a Senior Data Engineer with strong hands-on experience in Snowflake and DBT to design, build, and maintain scalable data transformation pipelin es.The ideal candidate will work closely with analytics, business, and platform teams to deliver reliable, high quality data models following best practices.

Key Responsibilities:

Design, develop, and maintain Snowflake data models, schemas, and views Build and manage DBT models, tests, snapshots, and documentation Implement ELT pipelines following analytics engineering best practicesOptimize Snowflake performance (warehouses, clustering, query tuning) Ensure data quality using DBT tests and reconciliation checks Orchestrate data workflows using Airflow (DAG monitoring and troubleshooting)Manage source control, CI/CD pipelines, and code reviews using GitHub and GITHUB ActionsWork with cloud storage (AWS S3) for data ingestion and unloading Collaborate with cross functional teams for requirements, design, and delivery Support production issues, RCA, and continuous improvementinitiatives

Required Skills

Strong experience with Snowflake (SQL, Warehouses, Security, Performance tuning)

Hands on experience with DBT (Core)Advanced SQL skills for analytical transformations

Experience with ELT/ETL pipelines and data warehousing concepts

Familiarity with Airflow for job orchestration

Experience using GitHub for version control and C

I/CDStrong debugging, problem solving, and communication skills