CLIENT
Our client is a pioneer in US schools’ education since 2000, it is leading the way in next-generation curriculum and formative assessment. They develop a number of solutions and interactive web products for teachers, students, and their parents.
The company is technology-driven with a huge number of software engineers involved in product development. They have a very solid approach to technology, and employ best practices and processes, with a focus on cutting-edge frameworks, languages, and tools.
The company is technology-driven with a huge number of software engineers involved in product development. They have a very solid approach to technology, and employ best practices and processes, with a focus on cutting-edge frameworks, languages, and tools.
We invite to the company, not a project
TEAM
There are multiple autonomous and empowered teams who work with their own part of the product and choose their own way of doing things and they expect people to be proactive and good team players.
Responsibilities
- Building well-tested and optimized ETL data pipelines for both full and delta extraction
- Collaborating with data analysts and learning scientists to store, aggregate, and calculate captured students’ work
- Contributing to leading industry data standards, such as Caliper Analytics or xAPI
- Improving our deployment and testing automation data pipelines
Requirements
- Solid experience in Python
- Experience with storage: Oracle, Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB)
- ETL/BI: Airflow, DBT, Matillion, Looker
- Experience with Cloud Infrastructure: AWS Kinesis, Lambda, API Gateway, Terraform
- Proven passion and talent for teaching fellow engineers and non-engineers
- Proven passion for building and learning: open source contributions, pet projects, self-education, Stack Overflow
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