Data Engineer

Responsibilities:
Contribute to the design, development, testing, deployment, and support of data pipelines and data lakes.
Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand-up, retrospectives, and sprint planning.
Mentor engineers within your squad (and beyond! ) to help them improve their technical ability and build their profile within and outside of the organization.
Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.
Requirements:
Familiarity with the following languages: Scala, Python, and SQL.
Familiarity with at least one of the following: Spark, Hive, or Presto.
Familiarity with data engineering methods and their application at scale.
Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure.
Bachelor's degree in Computer Science, Information Systems, Software, Electrical, or Electronics Engineering, or a comparable field of study, and/or equivalent work experience.
Minimum of 5 years of related work experience.
Desirable Skills:
Familiarity with Databricks or Snowflake products.
Familiarity with Terraform, Cloud Formation, or another infrastructure as code (IaC) tool.

Experience
5-9 yrs