Opportunity Description
We are seeking a Data Engineer with 2 to 4 years of experience to design, build, and maintain scalable data pipelines using Databricks and cloud‑based data platforms. The ideal candidate will have hands‑on experience with Databricks Lakehouse architecture, building reliable ETL/ELT pipelines, and enabling analytics and data science use cases across the organization.
Your role will also include overseeing, supervising and reviewing tasks performed by team members to ensure effective execution of work; managing end‑to‑end processes and projects for both internal and external clients with responsibility for timely and accurate delivery; issuing clear instructions and directions to team members on tasks to be performed; and mentoring and guiding junior colleagues to support their skill development, professional growth, and overall success
**Key Responsibilities**
+ Design, develop, and maintain data pipelines using Databricks (PySpark / Spark SQL)
+ Implement ...
Your role will also include overseeing, supervising and reviewing tasks performed by team members to ensure effective execution of work; managing end‑to‑end processes and projects for both internal and external clients with responsibility for timely and accurate delivery; issuing clear instructions and directions to team members on tasks to be performed; and mentoring and guiding junior colleagues to support their skill development, professional growth, and overall success
**Key Responsibilities**
+ Design, develop, and maintain data pipelines using Databricks (PySpark / Spark SQL)
+ Implement ...