Description

Design, build, and launch production data extraction, transformation, and loading processes while ensuring availability and troubleshooting infrastructure issues.

This role is hybrid.

Responsibilities

• Design and deploy ETL pipelines for large-scale production data environments.
• Implement logging mechanisms to monitor data availability and resolve infrastructure issues.
• Enforce data controls to ensure privacy, security, compliance, quality, and operational efficiency.
• Design and launch new data models to address evolving business requirements.
• Optimize existing production processes and implement solutions with limited guidance.

Required Skills

• 5+ years of experience in data engineering or similar roles.
• Proficiency in Python, Scala, SQL, and scripting languages.
• Experience with Big Data platforms including Databricks, EMR, and Hadoop.
• Hands-on experience with SQL database design and ETL tools.
• Experience working with cloud environments such as AWS, GCP, or Azure.
• Technical expertise in data models, data mining, and segmentation techniques.

Preferred Skills

• Any Graduate education level.
• Experience with large-scale data environments.

Key Skills

Education

Any Graduate