Data Engineer (AWS, Azure, GCP)

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. They are seeking a Data Engineer to build and maintain advanced data systems, develop data pipelines, and advise clients on cloud resources for efficient data processing. The role emphasizes collaboration with various stakeholders to maximize the value of client data across organizations.

Responsibilities:

• Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly
• Utilizing your skills in engineering best practices to solve complex data problems
• Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization
• Articulating architectural differences between solution methods and the advantages/disadvantages of each

Requirements:

• Experience delivering solutions on a major cloud platform
• Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture
• Experience in the design and implementation of data architecture solutions
• A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines
• Ability to assess and utilize traditional and modern architectural components required based on business needs
• A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning
• Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer