Senior Data Analytics Engineer, Data Platforms
Location
Toronto, Canada
Level
Senior
Department
Engineering
Type
Full - Time
Salary
Job Description
Posted on:
April 5, 2023
As a Data Analyst in the Data Platforms Team, you will work with Product Managers, Biologists, Chemists, Automation Engineers, Data Engineers and Data Scientists to digitally onboard new experimental assays, develop workflows for ingestion and organization of biology and chemistry data, and create visualization dashboards that our drug discovery teams can use to make better decisions.
Responsibilities
- Build data products. You will work with our research scientists on workflows, data pipelines, data catalogs to ingest and annotate biological, chemical data and metadata from a variety of sources such as contract research organizations (CROs), and internal data generators.
- Power user of Data Platforms. Champion ways to to effectively utilize Data Platforms for our scientists to better self-serve.
- Develop visualizations that will impact drug discovery. You will develop powerful visualizations and dashboards so that our scientists can easily interpret relevant information about our compounds or drug discovery programs.
- Be a mentor, coach, and sponsor. You will share your technical knowledge and experiences within and beyond the team.
Job Requirements
- Work Experience in data science, data analytics, data engineering, business intelligence, or data warehousing.
- Experience delivering projects with significant ambiguity and technical complexity, ideally spanning multiple production systems and involving diverse technologies.
- Experience being resourceful and collaborative in order to complete large projects. We don't have much in the way of project managers.
- Expert knowledge of SQL relational or analytical databases
- Experience working with visualization and analysis software such as Tableau, Looker or Dash
- Working knowledge of modern ETL, analytics systems and tools such as dbt.
- Knowledge of Data Catalog products.
- Excitement to learn parts of our tech stack that you might not already know. Our current tech stack includes: dbt, Airflow, PostgreSQL, Big Query, GCP Buckets. Our cloud services are provided by Google Cloud Platform.
- Bonus: Proficiency in data engineering programming language such as Python
- A people-first mindset. Despite the deadlines, we always prioritize supporting our coworkers in their growth and experience.
- A drive to deliver technical solutions that are easily monitored and understood as they run in production and the effects of change can be readily quantified.
- Biology or chemistry background is not necessary, but intellectual curiosity is a must!
