The Data Engineer will partner with team of diverse, smart, and driven data engineers to create a cohesive, high-functioning team that thrives in a fast-paced, high growth environment. You will be a critical enabler of data-driven decision making. This is a hands-on developer position with some time dedicated to team oversight activities as you implement new technologies and tooling in development of the data lake, data warehouse(s) and build our reporting and analytics environment. This role will help develop and execute the strategy for leveraging modern technologies to develop a high performance, resilient and scalable cloud data platform along with QA and release processes. They will champion a unified architecture and collaborate with BI, platform and security engineering teams to drive the development and delivery of a sophisticated and secure data platform. This position reports into the Senior Director of Enterprise Data Platforms and Reporting, ML and AI

The Data Engineer will partner with team of diverse, smart, and driven data engineers to create a cohesive, high-functioning team that thrives in a fast-paced, high growth environment. You will be a critical enabler of data-driven decision making. This is a hands-on developer position with some time dedicated to team oversight activities as you implement new technologies and tooling in development of the data lake, data warehouse(s) and build our reporting and analytics environment.

This role will help develop and execute the strategy for leveraging modern technologies to develop a high performance, resilient and scalable cloud data platform along with QA and release processes. They will champion a unified architecture and collaborate with BI, platform and security engineering teams to drive the development and delivery of a sophisticated and secure data platform.

Key Responsibilities

• Be an active, driven team member and leader as you work with a diverse team in the development of our Snowflake Cloud Analytics Platform
• Build cross-functional relationships with business and technical stakeholders to understand the data, tools, and governance needed and deliver on those needs
• Seek diverse perspectives to drive innovation and create buy-in across stakeholders
• Participate in key technical and design discussions with technical leads
• Analyze and organize raw data; build data systems and pipelines
• Perform complex data analysis
• Explore ways to enhance data quality and reliability
• Develop and maintain datasets and improve data quality and efficiency
• Collaborate with others to plan, schedule, and execute with the goal of increasing value for our stakeholders
• Ensuring that all projects have well-defined scope and priority, the right owners/stakeholders, timelines and deadlines
• Work with your data engineering peers and cross functional stakeholders to conceive, plan, schedule, and execute roadmaps to make our services more reliable, secure, and scalable
• Develop initiatives to improve our engineering processes and culture and make our Data Engineering Organization world class

• Hands on expertise with data engineering, ETL technologies and data warehousing
• Understanding and experience with agile software development and management
• Strong execution and delivery skills
• Solid software development foundations in data structures, algorithms, and architecture patterns preferably in python
• Experience coding, architecting, and delivering complex data projects
• Ability to define solutions, provide estimates on effort and risk, and evaluate technical feasibility
• Proficient with modern build strategies, continuous integration, unit testing, and automated integration tests
• Proficient in performing technical code reviews and pair programming
• Hands on expertise with public cloud platforms, ideally MS Azure
• Excellent critical thinking, problem solving and analytical skills
• Excellent communication skills, and the ability to work effectively with others
• Excellent people skills to partner with various key business stakeholders
• Strong problem solving, quantitative and analytical abilities
• Ability to work under pressure in a dynamic environment
• Bachelor’s degree in Computer Science, Information Systems, Economics or another relevant field

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