Description

You will design and implement scalable data solutions across enterprise and product teams.

This role is hybrid.

Responsibilities

• Design and implement scalable data solutions in partnership with enterprise and product teams.
• Lead and optimize ETL processes using PySpark, Python, and SQL.
• Architect and manage data solutions within the AWS Cloud environment.
• Develop data models to support analytics and business intelligence requirements.
• Ensure data engineering best practices, performance tuning, and system reliability.

Required Skills

• 5+ years of professional experience in data architecture.
• Expertise in PySpark, Python, and SQL for ETL development and optimization.
• Proven experience with AWS Cloud architecture and data services.
• Strong skills in data modeling and pipeline design.
• Experience with AWS SNS, SQS, Kinesis, and Lambda is required.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with large-scale data warehousing solutions.

Key Skills

Education

Bachelor's degree