A consulting firm in New York is seeking a Databricks Data Engineer to design and implement data solutions tailored to client needs. The ideal candidate will have over 5 years of experience with Databricks and a strong understanding of data architecture. Responsibilities include engaging with clients, defining coding standards for ETL processes, and developing comprehensive architecture solution roadmaps. The role requires excellent communication skills and the ability to work independently.
Qualifications
5+ years experience in architecture, design, and implementation using Databricks.
Experience in designing and implementing scalable, fault-tolerant systems.
Deep understanding of big data computing technologies such as Databricks and Snowflake.
In-depth knowledge of spark internals and Databricks runtime environment.
Responsibilities
Design and develop data systems tailored to client-specific requirements.
Engage with clients to evaluate needs and provide strategic recommendations.
Define coding standards for ETL processes ensuring best practices.
Architect and implement CI/CD pipelines for Databricks environments.
Skills
Databricks
SQL
Python
Agile Methodologies
Communication Skills
Education
B.S. Degree in a data-centric field
Tools
Airflow
Git
Azure DevOps
Power BI
Kubernetes
Splunk
Job description
A consulting firm in New York is seeking a Databricks Data Engineer to design and implement data solutions tailored to client needs. The ideal candidate will have over 5 years of experience with Databricks and a strong understanding of data architecture. Responsibilities include engaging with clients, defining coding standards for ETL processes, and developing comprehensive architecture solution roadmaps. The role requires excellent communication skills and the ability to work independently.