Data Engineer, Enterprise Engineering

Our Enterprise Engineering team builds industry leading, highly intuitive software that underpin business functions across Supply Chain, Finance, Compliance, Sales, Marketing, E-commerce and Security. Our products consistently influence the enterprise software industry by defining new standards for how our customers, internally and externally, relate to their daily work.

Data Engineer, Enterprise Engineering Responsibilities:

• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.
• Define and manage SLA for all data sets in allocated areas of ownership.
• Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
• Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
• Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
• Influence product and cross-functional teams to identify data opportunities to drive impact.
• Mentor team members by giving/receiving actionable feedback.

Minimum Qualifications:

• Experience analyzing data to identify gaps and inconsistencies.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 7+ years experience with schema design and dimensional data modeling.
• 7+ years experience in writing SQL statements.
• 5+ years experience in custom ETL design, implementation and maintenance.
• 5+ years experience with object-oriented programming languages.
• 5+ years experience in the data warehouse space.
• Experience managing and communicating data warehouse plans to internal clients.

Preferred Qualifications:

• Experience influencing product decisions with data.
• Experience working with either a MapReduce or an MPP system.
• Experience working autonomously in global teams.
• Knowledge and practical application of Python.