Description

You will design and implement complex data structures and ETL processes across multiple database environments.

This role is hybrid.

Responsibilities

• Design and maintain scalable data models for diverse business requirements.
• Build and optimize ETL pipelines to move data across distributed systems.
• Manage data warehousing architectures to ensure data integrity and availability.
• Develop Python scripts to automate data tasks and workflows.
• Work across heterogeneous database environments including SQL Server, Teradata, and Oracle.

Required Skills

• 5+ years of experience in SQL Server development.
• 5+ years of experience in data modeling.
• 5+ years of experience building ETL processes.
• Hands-on experience with Teradata and Oracle databases.
• Expert knowledge of data warehousing principles.
• 1+ years of Python scripting experience.
• 2+ years of big data experience using Hadoop, Hive, Spark, or Snowflake.
• Bachelor's degree or equivalent graduate qualification.

Key Skills

Education

Any Gradute