Description

You will design and implement scalable data pipelines and warehouse architecture in Snowflake.

This role is on-site.

Responsibilities

• Design and implement scalable data pipelines using ELT frameworks and orchestration patterns.
• Develop and maintain data models and data warehouse architecture in Snowflake.
• Build and manage dbt models for data transformation, documentation, and lineage tracking.
• Write efficient, reusable Python scripts for data ingestion, transformation, and automation.
• Monitor and optimize performance of data pipelines and Snowflake queries while enforcing data quality and governance.

Required Skills

• 5+ years of experience in data engineering or a related field.
• Python for data manipulation, ingestion, and automation.
• Snowflake for schema design, performance tuning, and security.
• Scalable data pipeline and warehouse performance optimization practices.
• Data transformation and documentation using dbt, including lineage tracking.
• Strong SQL skills for large-scale datasets.

Preferred Skills

• Experience with orchestration tools such as Airflow or Prefect.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Key Skills

Education

Any Graduate