Description

You will design relational database structures and build ETL pipelines to support data warehousing needs.

Responsibilities

• Design and optimize relational database structures using Oracle and SQL.
• Develop stored procedures and optimize SQL/PL/SQL queries for data processing.
• Build ETL pipelines to extract, transform, and load data using SnapLogic or Informatica.
• Manage data warehousing tasks within Snowflake using SnowSQL and Snowpark.
• Write Python and JavaScript scripts for automation and data manipulation.

Required Skills

• 5+ years of experience as a Data Engineer.
• Proficiency in SQL and PL/SQL development.
• Experience with Oracle database management.
• Hands-on experience with Snowflake data warehousing.
• Expertise in ETL processes using SnapLogic or Informatica.
• Strong scripting skills in Python and JavaScript.
• Knowledge of AWS cloud services for data storage and processing.
• Bachelor's degree in computer science, Information Systems, or a related field.
• Solid understanding of relational data modeling principles.

Preferred Skills

• Experience with Power BI for data visualization.

Key Skills

Education

Bachelor's degree in computer science