Data Engineers on the Commerce Platform Product Analytics team work alongside our Data Scientists and product teams to leverage engineering, analytics, statistics, and machine learning to empower data-driven decision making in product development. Data Engineers support Square’s mission of economic empowerment, by building understanding and empathy with our customers, enabling us to build a remarkable product experience.
Develop and take ownership of the CP Analytics data warehouse, related data pipelines, and comprehensive reporting dashboards to empower data access and self-service, and to instrument critical business metrics.
Partner with business stakeholders to understand and translate business requirements into technical design of building scalable data pipelines.
Perform heuristic analysis of drivers of business metrics, insight requests, and data extractions to resolve business issues
Develop tools & resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Bachelor’s degree with minimum of 3 years working experience in a successful data engineering or business intelligence team
Expert knowledge in data modeling concepts and implementation
Strong technical accomplishments in SQL, ETLs and data analysis
Hands on experience in processing extremely large data sets.
Strong business intuition and ability to understand complex business systems
Experience with Linux/OSX command line, version control software (git)
Familiarity with technologies such as Airflow
Experience with Snowflake database
Work experience with Python or any programming language
Experience with visualization technologies such as Looker
Knowledge of payment network transactional data and event logging data
Technologies we use and teach:
Python (pandas, scikit-learn, etc.)