Description

You will design and build scalable data infrastructure leveraging Snowflake and AWS services.

This role is hybrid.

Responsibilities

• Design and maintain scalable data pipelines using Snowflake and AWS services.
• Build and optimize ETL/ELT workflows for structured and semi-structured data.
• Automate data ingestion and transformation using Python, SQL, and AWS tools.
• Collaborate with architects and analysts to deliver data-driven insights.
• Ensure data quality, security, and performance across systems.

Required Skills

• 13+ years of professional experience.
• Expertise with AWS services: Lambda, S3, SQS, SNS, Step Functions, CloudWatch.
• Proficiency in Python and SQL for data transformation.
• Experience designing and maintaining data pipelines.
• Familiarity with ETL/ELT workflow optimization.
• Strong understanding of data security and performance best practices.
• Ability to participate in Agile ceremonies and code reviews.

Preferred Skills

• Experience with Snowflake-specific features and optimization.
• Background in data architecture or engineering.

Any Graduate

Key Skills

Education

Any Graduate