Requirements
Summary:
- Advanced analytics SQL - minimum 2 years, preferable 5
- Python - minimum 1 year, preferable 2
- Ability to work in cloud platform
Qualities that will help you thrive in this role:
- You understand that being an effective engineer is about communicating with people as much as it is about writing code.
- You are willing to work with and improve code you did not originally write, primarily in SQL and Python.
- You are generous with your time and experience and can mentor and learn from other engineers.
- You are comfortable with best practices for traditional data warehousing.
- You love SQL and writing efficient and optimized ETL pipelines.
- You are familiar with building and monitoring cloud services and infrastructure.
What you’ll be working on
What’s the role?
As a member of our client's Data Applications, Data Warehouse team, you’ll help us improve the stability, performance, and usability of their BigQuery data warehouse while advising their stakeholders on best practices and optimizations. Your work will enable other developers, data scientists, and analysts to write the high-performing pipelines that power data science, machine learning, and product development.
In addition to BigQuery SQL, our client's toolset includes Looker, Java, Python, and Spark, as well as Airflow, Terraform, and Kubernetes, and GCP services like Dataproc and Dataflow.
About The Team
- They build highly-performant systems and data warehouses that are maintainable and cost effective.
- They develop robust, highly available, well-monitored data infrastructure.
- They stay in close communication with the internal customers and make strategic improvements to ensure those that depend on us have a great experience using data
