Description

Design and maintain data pipeline architectures to support business intelligence and data science teams. Build infrastructure for extracting, transforming, and loading data from diverse sources.

Responsibilities

• Build and maintain optimal data pipeline architectures to assemble large, complex datasets.
• Automate manual processes and optimize data delivery to improve system scalability.
• Collaborate with Executive, Product, Data, and Design teams to resolve technical issues and support infrastructure needs.
• Create specialized data tools to assist analytics and data science team members.

Required Skills

• 10+ years of experience in data engineering or related roles.
• Proficiency with Azure Data Factory and Databricks.
• Experience with Azure analytics services and resource orchestration.
• Strong programming and scripting skills in Python, SQL, and Scala.
• Hands-on experience with Spark and other analytics data frameworks.
• Deep understanding of relational and dimensional data modeling.
• Knowledge of information security principles.
• Experience with software engineering methodologies including Agile, ADO, Ansible, and GIT.

Preferred Skills

• Bachelor’s Degree.

Key Skills

Education

Bachelor’s Degree