Senior Business Intelligence Engineer (P4155)

Key Skills

API, Azure, Business Intelligence, Data Modeling, Data Warehousing, DevOps, Docker, Java Programming, Optimization, PostgreSQL, Python Programming, RESTful, Snowflake, Spring Boot, Terraform

Job Description

As a Senior Business Intelligence Engineer, you will be part of a cross-functional team, applying your skill, experience, and creativity towards designing and building complex and scalable BI solutions. You will work in a highly collaborative environment, solving exciting problems while leveraging best engineering practices. We work full-stack, and the team owns features end-to-end. On our teams, we’re working daily with product, design, and data scientists to understand the problem and translate learnings into a pragmatic and effective solution. We happily pull in a peer when we need a pair to get through a tough problem or just for a second pair of eyes. We are always balancing new feature development with efforts to continuously improve both our efficiency and our infrastructure.

You should have:

• A passion for bringing great products into our world through collaboration and ingenuity
• Experience creating interactive visuals, designing dashboards, connecting to various data sources while working with a Business Intelligence Reporting Tool
• Proficiency with relational data modeling and data warehousing concepts
• Familiarity with sustainable engineering practices such as automated testing (TDD), continuous integration, continuous deployment, and monitoring / alerting
• Strong fundamentals, with overlap across our tech stack (Java, Spring Boot, Python, RESTful APIs, Docker, Azure Cloud Services, Terraform, PostgreSQL, Snowflake)
• Foundational understanding of cloud processing concepts
• Exposure to retail business intelligence
• A passion for learning from and collaborating with a diverse, talented team and mentoring junior team member

Requirements:

• Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program
• Minimum 4+ years professional BI engineering experience
• Proficiency building and shipping multiple large software products using agile methodologies
• Excellent communication skills - you can effectively work with engineers but at the same time collaborate with product owners, experience designers, data analysts and multiple stakeholders

Major Bonus Points for:

• Experience with Sisence
• Experience in Consumer Insights industry
• Experience working on distributed or remote-first teams
• Experience with distributed system performance analysis and optimization
• Experience with DevOps best practices and tools