Description

Build and maintain scalable data architectures and ETL pipelines to support business intelligence and machine learning workflows.

This role is on-site.

Responsibilities

• Develop efficient, scalable data models to serve multiple organizational teams.
• Design and build complex ETL pipelines for business intelligence and reporting requirements.
• Manage AWS resources and integrate new tools into existing infrastructure.
• Partner with BAs and BIEs to automate user-friendly systems, reports, and dashboards.
• Collaborate with machine learning engineers and data scientists to scale model training and explore new data features.

Required Skills

• 5+ years of relevant experience in data engineering.
• Proficiency in C++.
• Experience with Azure cloud environments.
• Hands-on work with Hadoop.
• Strong understanding of the SDLC.
• Ability to manage AWS resources.
• Experience designing data architectures for large datasets.
• Competency in communicating technical insights to stakeholders and senior management.

Preferred Skills

• Experience providing technical leadership and mentoring other engineers on data engineering best practices.

Key Skills

Education

Any Graduate