Software Engineer, Growth Data Engineering
By Stripe At Toronto, Ontario, Canada
Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc)
Knowledge of a scientific computing language (such as Scala or Python) and SQL
Experience with full stack development languages such as Java or Go, and front-end frameworks such as React
The ability to communicate cross-functionally, derive requirements and architect shared datasets
Design, develop, and own data pipelines, models, and products that power Stripe’s Growth, Sales, and Marketing teams
Our stack spans tools in Spark, Scala, Python, Spark, SQL, Presto, Airflow, AWS, Java, Go, and React
Lead Data Engineer - Data Science
By Astreya At Canada
Experience, Skills, Education & Licenses/Certifications
Identifies ways to improve data reliability, efficiency and quality of data management.
Dedicated management to provide you with on point leadership and care
Proven and extensive experience of Python and R programming, data extraction and data manipulation.
Widely experience and proficiency in variouspythonlibraries like SciPy, NumPy, PyTorch, Matplotlib, Pandas.
Overall 8+ yrs of IT experience in the information Industry