Description

Lead the design, implementation, and optimization of enterprise-level data applications and ETL/ELT processes. Own the full lifecycle of data projects from start to finish.

Responsibilities

• Build, monitor, and optimize ETL and ELT processes using data models.
• Migrate existing solutions from on-premises setups to cloud-based platforms.
• Design and implement features for identity and access management and authorization frameworks.
• Solve performance and scalability issues through query optimization and encryption security.

Required Skills

• 5+ years of experience in data engineering or ETL leadership.
• Deep expertise in SQL, including performance measuring and query tuning.
• Hands-on experience with Snowflake modeling, including roles, databases, and schemas.
• Proficiency with dbt.
• Strong knowledge of data warehousing concepts, data modeling, and metadata management.
• Experience with data lakes, multi-dimensional models, and data dictionaries.
• Capability to manage transactions using distributed data processing algorithms.
• Experience setting up resource monitors and performing database tuning.
• Background in migrating data to AWS, Azure, or Snowflake platforms.

Key Skills

Education

Any Graduate