Description

You will design, build, and manage a next-generation cloud data platform to centralize data for reporting and analytics.

This role is on-site.

Responsibilities

• Design and manage Snowflake data warehouse architecture.
• Establish best practices for Snowflake, Airflow, DBT, and Spark.
• Test and deploy data pipeline frameworks using CI/CD and standard testing tools.
• Monitor query performance and data loads to tune and optimize systems.
• Provide technical guidance during QA and UAT to resolve data issues.

Required Skills

• 10+ years in data development within complex, large-scale environments.
• 7+ years of SQL/PLSQL experience writing complex queries for analysis.
• 5+ years developing data solutions specifically on Snowflake.
• 3+ years building data pipelines using Python, Pandas, NumPy, or PySpark.
• 3+ years working in hybrid data environments (on-prem and cloud).
• Hands-on expertise with Python and Airflow or similar orchestration tools.
• Snowflake SnowPro Core certification.
• Proficiency with DBT, Spark, and CI/CD processes.
• Bachelor’s degree in Computer Science, Software Engineering, IT, or related field.

Key Skills

Education

Any Graduate