Description
How you will make an impact:
- Work on our data engineering platform to help launch new data pipelines and improve current data workflows and toolsets.
- Build and maintain data ingestion processes powered by our machine learning models.
- Review data transformations and pipeline changes made by others for accuracy prior to deployment.
- Participating in team sync ups
Who you are:
- Bachelor’s in Computer Science, or a related field (or equivalent job experience)
- 3-6 years of experience with Python, SQL
- Advanced analytical and problem-solving skills
- Must be fluent in English and possess advanced written and verbal communication capabilities along with exceptional active listening skills
- Ability to prioritize and manage multiple tasks in a dynamic environment
- Takes ownership of features or smaller projects and drives them to completion
Extra Points:
- You understand data governance and develop with those standards in mind
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Experience working with ETL tools such as Airflow, Talend, or AWS Glue
- Working experience with JIRA or other task management system
- Integrating with analytics packages such as Google Analytics
- Proactive, empathetic, team player who is responsive to customer needs and concerns and passionate about problem solving and helping others
#LI-EM1
#LI-Hybrid
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