Job Summary
The Databricks Engineer will be responsible for creating, automating, and expanding cloud-native data platforms. This role involves working in close collaboration with engineering teams and business leaders to develop effective data integration solutions.
Responsibilities
- Design and implement batch and streaming data pipelines.
- Promote and enforce best practices for utilizing Databricks.
- Provide mentorship and guidance to team members.
Qualifications
- A minimum of 5 years of experience in data engineering.
- At least 3 years of practical experience working with Databricks, Python, SQL, and PySpark.
- Possess a bachelor’s degree in a relevant field.
- Familiarity with cloud platforms such as AWS or Azure.
Perficient provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
