Manager, Data and Analytics Engineering

Role Overview

Manager, Data and Analytics Engineering will design and build scalable data infrastructure and systems to support reliable and efficient data processing, integration, and analysis. The role will develop and implement end-to-end data pipelines, leveraging modern technologies and tools.

What You Will Do

The responsibilities include data transformation, validation, and quality assurance to ensure accuracy and consistency, supporting the development of technical solutions that align with client needs and business goals, and contributing to innovation by exploring emerging technologies and proposing practical applications.

Why It Might Be a Fit

The ideal candidate will have a strong technical background, excellent communication skills, and the ability to work collaboratively with cross-functional teams.

Requirements

• Bachelor’s degree or foreign equivalent in Business Analytics, Engineering, Computer Science, Management Information Systems, or a related field
• 5 years of post-bachelor’s, progressive related work experience
• Architecting Enterprise data pipelines and crafting code in Standard Query Language (SQL) and Python
• Developing and implementing Artificial Intelligence (AI) enhanced architectures
• Architecting, deploying, and managing scalable Cloud-based data solutions using Amazon Web Services (AWS), Microsoft (MS) Azure, and the Google Cloud Platform (GCP)
• Engaging with the Systems Development Lifecycles (SDLCs) such as Agile and Scrum methodologies and Application Programming Interface (API) based data acquisition and management

Benefits

• Medical
• Dental
• Vision
• 401k
• Holiday pay
• Vacation
• Personal and family sick leave

Tagged as: Pipeline Management, Python, SQL