Job Title : - Databricks SME Location : - Washington DC(3 day onsite in a week) Duration : - 12 months
Required Skills :
- At least one Databricks Professional Certificate
- Hands on development experience (i.e., need to be hands on keyboard)
- Good customer presence and ability to answer a variety of Databricks questions
- GitHub and CI / CD experience is a plus
Day-to-day Responsibilities : -
Design, develop, and maintain data engineering pipelines in Databricks using PySpark or SQLExperience developing streaming pipelines using Databricks Autoloader or Structured StreamingData Modelling experience designing Delta Lake tables and the Bronze-Silver-Gold Medallion ArchitectureUnderstanding of Spark for performance optimizations including Delta Lake optimizationsExperience with cloud service provider (AWS / Azure / Google Cloud Platform) services used in Databricks implementations (e.g., AWS S3, Azure ALDS, IAM , etc., AWS EC2, Azure VM)Triaging ad hoc questions across the Databricks product suiteCertifications(if any) : -
Databricks Certified Data Engineer AssociateDatabricks Certified Machine Learning AssociateDatabricks Certified Data Engineer ProfessionalDatabricks Certified Machine Learning Professional