Description

You will own the end-to-end data engineering lifecycle, from pipeline construction to model deployment, delivering actionable insights for the business.

Responsibilities

• Build and maintain data pipelines to optimize retrieval from Oracle, Hive/Presto, Snowflake, and Hadoop.
• Craft end-to-end solutions involving data sourcing, wrangling, and modeling.
• Design and develop self-service dashboards and tools to drive revenue impact.
• Automate existing analyses and define standard methodologies for data processing.
• Document technical processes, use cases, and requirements for technical and business partners.

Required Skills

• Proficiency in Python and SQL.
• Hands-on experience with AWS services: Redshift, EMR, Glue, Step Functions, and Lambda.
• Experience with workflow orchestration using Airflow.
• Infrastructure management using Terraform.
• Experience with Snowflake data warehousing.
• Strong background in data modeling, data mining, ETL, and data visualization.
• 2 years of experience in data engineering or similar technical roles.
• Master’s degree in Computer Science or a related field.
• Willingness to relocate to unanticipated locations across the US.

Key Skills

Education

ANY GRADUATE