Description

Build and maintain scalable data solutions by translating requirements into functional data pipelines.

This role is on-site.

Responsibilities

• Develop, implement, and deploy ETL pipelines and workflows.
• Preprocess and analyze large datasets to uncover meaningful insights.
• Validate, refine, and optimize data models for performance and reliability.
• Monitor and maintain data pipelines in production, identifying improvements.
• Document development processes, workflows, and best practices.

Required Skills

• 5+ years of experience in data engineering.
• Strong programming proficiency in Python and PySpark.
• Expertise in crafting and optimizing complex SQL queries and stored procedures.
• Hands-on experience with Snowflake, including Snowpark.
• Experience developing and maintaining scalable data models.
• Familiarity with API integrations to support data workflows.
• Experience implementing CI/CD pipelines using DevOps platforms.
• Proficiency in ETL processes.

Key Skills

Education

Any Gradute