Description

You will design, build, and maintain enterprise data pipelines and architectures to support secure, high-quality production code and continuous system improvement.

This role is on-site.

Responsibilities

• Execute software solutions, design, development, and technical troubleshooting for complex data applications.
• Gather, analyze, and synthesize large, diverse data sets to create visualizations and drive architectural improvements.
• Update logical and physical data models based on new use cases and enterprise requirements.
• Review controls and contribute to communities of practice to explore emerging technologies.

Required Skills

• 6-10 years of experience in data engineering or software engineering.
• Advanced SQL skills (joins, aggregations) and working understanding of NoSQL databases.
• Proficiency in Python, PySpark, and ETL processes.
• Experience with data modeling and performance tuning.
• Formal training or certification in Software Engineering concepts.
• Ability to leverage enterprise-authorized AI coding assist tools for code generation and refactoring.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience applying AI-assisted development and automation capabilities within the SDLC toolchain.
• Proven ability to identify hidden data patterns and improve coding hygiene.

Key Skills

Education

Bachelor's degree