Description

You build and maintain data pipelines into Snowflake using Python.

Responsibilities

• Design, develop, and optimize ETL/ELT pipelines using Python to load data into Snowflake.
• Build and manage data transformations using Snowflake SQL, Python, and Snowpark.
• Ingest data from multiple sources including databases, APIs, flat files, and cloud storage (S3, Azure Blob, GCS).
• Optimize Snowflake performance through clustering, partitioning, caching, and warehouse sizing.
• Orchestrate workflows using tools like Airflow, Azure Data Factory, dbt, or Control-M.

Required Skills

• 5+ years of experience in data engineering or related field.
• Strong experience with Snowflake Data Cloud.
• Proficiency in Python for ETL development, including Pandas, PySpark, and Snowpark.
• Strong SQL skills, particularly within Snowflake.
• Experience with ETL/ELT tools and orchestration frameworks.
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform).
• Experience with data modeling, including star/snowflake schemas.
• Familiarity with CI/CD, Git, and DevOps practices.
• Understanding of data security, governance, and RBAC.

Key Skills

Education

Any Gradute