Description

Manage data conversion and report building processes within a big data environment.

This role is on-site.

Responsibilities

• Build and manage data conversion and reporting workflows using Snowflake and SAS Viya.
• Execute data transformation processes through ETL, SQL, Python, and R.
• Develop and maintain ETL pipelines using AWS Glue and Lambda.
• Apply database management and data warehousing concepts to support business intelligence.
• Deliver data solutions within a Scrum or Agile development environment.

Required Skills

• 5+ years of experience in data science or data engineering roles.
• Expertise in SQL for complex data querying and manipulation.
• Proficiency in Python and R for data transformation.
• Hands-on experience with Snowflake and SAS Viya.
• Practical knowledge of ETL processes and tools, specifically AWS Glue and Lambda.
• Experience with data analytics and business intelligence tools.
• Strong understanding of data warehousing and database management.
• Experience working in Scrum or Agile frameworks.

Key Skills

Education

Any Graduate