Job description

We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best ways to improve these services for our customers! Our culture is built on rapid iteration, open debate, and independent thinking — we take calculated risks and work as analytical advisors across product, design, engineering, marketing, editorial, legal, and business teams. • 5+ years of experience in data engineering or business intelligence roles, with demonstrated expertise building and maintaining complex data pipelines and data models at scale • Strong proficiency with SQL and proven experience querying, manipulating, and analyzing internet-scale data structures and very large datasets • Advanced proficiency with Python or similar languages, and experience with distributed computing frameworks (e.g., Spark) for complex data manipulation and analytics • Demonstrated experience with data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies in support of analytics and reporting • Exceptional written and verbal communication skills, with the ability to translate complex data concepts for diverse audiences including product, business, and engineering stakeholders • Strong time management skills with the ability to balance multiple projects with competing priorities • BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field • Experience in a fast-paced technology company, digital subscription business, or e-commerce platform, navigating complex data ecosystems • Familiarity with data governance, data quality frameworks, or metadata management concepts • MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field

Requirements

Must-haves

5+ years of experience in data engineering or business intelligence roles, with demonstrated expertise building and maintaining complex data pipelines and data models at scale
Strong proficiency with SQL and proven experience querying, manipulating, and analyzing internet-scale data structures and very large datasets
Advanced proficiency with Python or similar languages, and experience with distributed computing frameworks (e.g., Spark) for complex data manipulation and analytics
Demonstrated experience with data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies in support of analytics and reporting
Exceptional written and verbal communication skills, with the ability to translate complex data concepts for diverse audiences including product, business, and engineering stakeholders
Strong time management skills with the ability to balance multiple projects with competing priorities
BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field
Experience in a fast-paced technology company, digital subscription business, or e-commerce platform, navigating complex data ecosystems
Familiarity with data governance, data quality frameworks, or metadata management concepts
MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpython

Platform: apple
Effort: medium