Senior Data Engineer

Role Overview

• Responsible for the analysis, design, and development of solutions focused on data engineering and ETL workflows.
• Work with customers and internal stakeholders to understand their business needs and help them achieve outcomes with your solutions and guidance.
• Research all data sources concerning business operations and be responsible for outlining designs to integrate, centralize, and maintain the data.
• Help to establish a new data engineering practice and be a technical leader within the Product organization.
• Drive our organizational data strategy, including data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
• Share expertise by collaborating and coaching team members through code and design reviews to ensure code integration into systems is up to team standards.
• Set a positive example for the team by consistently shipping high-quality solutions and maintaining a high standard of technical excellence.
• Coordinate and collaborate with development teams, stakeholders, and customers for smooth functioning of data systems.
• Extend and support a data engineering environment with a focus on developer experience that facilitates maximum efficiency, testing, and integration.
• Make recommendations for continuous improvement of existing data and ETL processes.
• Participate in optimizing our end-to-end data architecture, from selection of technology, design, development, security, and testing of applications.
• Lead in the creation and maintenance of technical documentation, architecture diagrams, and visualizations for development teams and internal stakeholders.

Requirements

• Bachelor's degree or relevant work experience
• Minimum 10 years' experience developing data applications, relational databases, and ETL platforms
• Expert knowledge of data modeling, database design, and data warehousing
• Expert knowledge of SQL scripting
• Previous experience building highly available and testable ETL systems that support critical business operations
• Ability to shift priorities, demands and timelines through analytical and problem-solving capabilities
• Strong ability to work independently or in a team-oriented, collaborative environment
• Hands-on experience with Databricks
• Hands-on experience with PowerBI report development
• Hands-on experience and knowledge of the Python programming language
• Public cloud expertise and/or certifications
• Azure, AWS, GCP
• Hands-on experience with DevOps methodologies and concepts including CI/CD, IaC and automated testing.

Tech Stack

• AWS
• Azure
• Cloud
• ETL
• Google Cloud Platform
• Python
• SQL

Benefits

• Health, wellness, and financial benefits to offer peace of mind to you and your family.
• Continuous professional growth and leadership opportunities.
• World-class facilities and the technology you need to thrive – in our offices or yours.