Description

You will design, implement, and maintain scalable data pipelines and architectures.

This role is on-site.

Responsibilities

• Build and expand ETL processes to extract, transform, and load data efficiently.
• Translate business requirements into technical data solutions for end-users.
• Troubleshoot pipeline failures, notify stakeholders, and implement corrective actions.
• Document data processes, architectures, and workflows for team reference.
• Collaborate with business units to ensure high-quality data delivery.

Required Skills

• 5+ years of experience in ETL development and data engineering.
• Advanced SQL proficiency, including query performance tuning and index maintenance.
• Strong understanding of database structures, data modeling principles, and data warehouse/lake architectures.
• Experience with both SQL and NoSQL storage mechanisms.
• Working knowledge of Big Data technologies and ecosystems.
• Basic programming and scripting abilities for automation and data manipulation.
• Experience building reports and dashboards using PowerBI, QuickSight, or Tableau.

Preferred Skills

• Bachelor's Degree in a related field.

Key Skills

Education

Bachelor's Degree