Job Title: Senior Databricks Engineer
About the Role
We are seeking an experienced Data Architect to design and implement scalable data platforms using Databricks Lakehouse Architecture.
The ideal candidate will have hands-on experience in building high-performance data solutions, integrating with clients' systems using state-of-the-art tools such as Databricks, Snowflake, Google Cloud, and AWS.
Key Responsibilities
* Data Engineering: Develop greenfield data solutions that deliver tangible business outcomes across various environments.
* Data Integration: Implement and enhance data-driven solutions integrating with clients' systems.
* Big Data Technologies: Design scalable data platforms using Delta Lake, data modeling, and distributed processing.
Required Skills and Qualifications
* Databricks Platform: Hands-on experience in Databricks to build scalable, high-performance data solutions.
* Core Data Engineering Tools & Technologies: Proficiency in SQL and Spark, familiarity with platforms such as Databricks and Snowflake.
* Data Storage Expertise: Knowledgeable in data warehousing technologies like BigQuery, Snowflake, and Databricks.
Ideal Candidate
* Professional Experience: At least 8+ years of data engineering or equivalent experience in a commercial, enterprise, or start-up environment.
* Educational Background: Degree or equivalent experience in computer science or a related field.