Description

Design, develop, and maintain scalable data pipelines that ingest, transform, and load data into Snowflake.

This role is hybrid.

Responsibilities

• Build and optimize ETL/ELT pipelines using Python, Snowflake SQL, and Snowpark to load data from databases, APIs, and cloud storage (S3, Azure Blob, GCS).
• Orchestrate workflows using Airflow, Azure Data Factory, dbt, or Control-M and implement CI/CD pipelines for data workflows.
• Implement data validation, quality checks, and reconciliation processes to ensure SLA compliance.
• Optimize Snowflake performance through clustering, partitioning, caching, and warehouse sizing.
• Ensure data security and governance using RBAC, masking policies, and encryption.

Required Skills

• 5+ years of experience with Snowflake Data Cloud and Python for ETL development (Pandas, PySpark, Snowpark).
• Strong SQL skills, specifically within Snowflake.
• Experience with ETL/ELT tools and orchestration frameworks such as Airflow or Azure Data Factory.
• Knowledge of cloud platforms: AWS, Azure, or Google Cloud Platform.
• Experience with data modeling (star/snowflake schemas) and implementing CI/CD, Git, and DevOps practices.
• Understanding of data security, governance, and compliance standards.

Key Skills

Education

Any Graduate