Description

You will design, build, and maintain data solutions within a cloud environment.

Responsibilities

• Develop, test, and maintain data pipelines, ETL processes, and feature engineering pipelines using AWS services.
• Work with relational and NoSQL databases, including Snowflake, Redshift, and DB2.
• Troubleshoot and resolve complex ETL and SQL issues across Data Lake, Data Warehouse, and Data Mart environments.
• Analyze business requirements and propose technical solutions for data infrastructure.
• Implement and support feature stores.

Required Skills

• 5+ years of professional experience in a Data Engineering capacity.
• Strong proficiency in Python and SQL.
• Experience with Unix scripting and command-line operations.
• Familiarity with Data Lake and Data Warehouse architectures.
• Experience developing ETL/ELT processes.
• Knowledge of AWS services (Lambda, S3, Glue, Athena, etc.).
• Experience with CI/CD tools (GitHub, CodePipeline, CloudFormation).
• Proficiency in dimensional modeling.

Key Skills

Education

Any Graduate