Description

You will design, develop, and implement data warehouse architecture and solutions in collaboration with Data Science teams.

Responsibilities

• Develop, test, and maintain data pipelines, ETL processes, and feature engineering pipelines using AWS services.
• Work with databases including Snowflake, Redshift, and DB2, demonstrating proficiency in dimensional modeling.
• Implement and support feature stores and work with NoSQL databases.
• Utilize CI/CD tools for automated deployment and code management.
• Troubleshoot and resolve complex ETL and SQL issues across Data Lake, Data Warehouse, and Data Mart environments.

Required Skills

• 5+ years of professional experience in data engineering.
• Expertise in developing Data Pipelines and ETL Processes.
• Strong proficiency in SQL.
• Experience with cloud data warehousing technologies like Snowflake.
• Familiarity with database systems such as DB2.
• Knowledge of Python and Unix scripting for data manipulation.
• Experience with CI/CD tools (GitHub, GitHub Actions, CodePipeline, CloudFormation).
• Ability to analyze requirements and propose technical solutions.
• Any Graduate degree required.

Key Skills

Education

Any Graduate