Description

Job Summary:

• The Snowflake Python ETL Engineer is responsible for designing, developing, and maintaining scalable data pipelines that ingest, transform, and load data into Snowflake Data Cloud.
• This role involves working closely with data engineers, analysts, and business stakeholders to ensure reliable, performant, and secure data processing using Python-based ETL frameworks and cloud-native technologies.

Key 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 such as databases, APIs, flat files, and cloud storage (S3, Azure Blob, GCS)
• Implement data validation, data quality checks, and reconciliation processes
• Optimize Snowflake performance using clustering, partitioning, caching, and warehouse sizing
• Develop reusable Python modules and frameworks for ETL automation
• Orchestrate workflows using tools such as Airflow, Azure Data Factory, dbt, or Control-M
• Implement CI/CD pipelines for data workflows and manage deployments across environments
• Monitor ETL jobs, troubleshoot failures, and ensure SLA compliance
• Ensure data security and governance using RBAC, masking policies, and encryption
• Collaborate with analytics, BI, and data science teams to support reporting and advanced analytics

Required Skills & Qualifications:

• Strong experience with Snowflake Data Cloud
• Proficient in Python for ETL development (Pandas, PySpark, Snowpark)
• Strong SQL skills, especially in Snowflake
• Experience with ETL/ELT tools and orchestration frameworks
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform)
• Experience with data modeling, star/snowflake schemas
• Familiarity with CI/CD, Git, and DevOps practices
• Understanding of data security, governance, and compliance

Key Skills

Education

Any Graduate