Description

Lead the design and implementation of scalable data architectures and end-to-end data pipelines using Azure, PySpark, and Snowflake.

This role is on-site.

Responsibilities

• Design and build scalable data architectures and ETL processes.
• Oversee development and deployment of data pipelines.
• Translate business requirements into technical solutions through cross-functional collaboration.
• Optimize data storage and retrieval to enhance system performance.
• Conduct code reviews, troubleshoot issues, and maintain architecture documentation.

Required Skills

• 11+ years of experience in data architecture and engineering.
• Expertise in Snowflake.
• Extensive experience with Azure.
• Proficiency in PySpark.
• Strong knowledge of SQL.
• Experience with AWS.
• Experience with Scala.
• Deep understanding of data security and compliance best practices.

Preferred Skills

• Proven ability to design and implement scalable data architectures.
• Experience mentoring junior team members.

Key Skills

Education

Any Graduate