Databricks Data Engineer

Requirements

• Minimum 5 years of experience in the Data Engineering field

• Minimum 2 years of experience with Databricks

• Very good knowledge of SQL, PySpark, and Python

• Experience with data warehousing, ETL, distributed data processing, and data modeling

• Strong analytical problem-solving skills in a Big Data environment

• Experience working with structured, semi-structured, and unstructured data

• Experience with at least one public cloud platform (Azure, AWS, or GCP)

• Knowledge of designing relational and non-relational databases

• Knowledge of Data Mart, Data Warehouse, Data Lake, and Data Mesh concepts

• Very good command of English

• Experience working with Agile methodologies (Scrum, Kanban) and knowledge of DevOps and CI/CD principles

Responsibilities

• Designing and developing Data Engineering solutions

• Building and maintaining ETL/ELT processes

• Working with large volumes of data in a distributed environment

• Data modeling and processing for analytical purposes

• Collaborating with technical and business teams

• Participating in the design of cloud-based data architectures