Description

Lead the design, implementation, and optimization of enterprise-level data applications and ETL/ELT processes.

Responsibilities

• Build, monitor, and optimize ETL and ELT processes using scalable data models.
• Migrate existing on-premises solutions to cloud-based platforms such as AWS, Azure, or Snowflake.
• Design and implement identity and access management features and authorization frameworks.
• Solve system performance and scalability issues through query optimization and encryption security.
• Manage transactions using distributed data processing algorithms and own projects from start to finish.

Required Skills

• 10+ years of experience in data engineering and data warehousing.
• Expertise in Snowflake modeling, including roles, databases, and schemas.
• Advanced SQL skills with experience in query tuning and database performance measuring.
• Proficiency with Snowflake, dbt, Informatica, or DataStage.
• Strong knowledge of Python and Unix environments.
• Hands-on experience with SQL Server and Unisys.
• Deep understanding of data modeling, metadata management, and data dictionaries.
• Experience managing data lakes and multi-dimensional models.
• Proven ability to set up resource monitors and perform performance tuning.

Key Skills

Education

Any Graduate