Data Engineer
Skills
Data EngineeringETL ToolsSQLAzure DatabricksData PipelinesData StorageData Warehousing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience in Python, SQL, and data warehousing.
- Knowledge of ETL tools and Databricks or Druid.
- Familiarity with cloud technology, preferably Azure, and machine learning principles.
Nice to have
- Distributed Systems
- Databricks Certification
- CI/CD
Day to day
- Implement, deploy, and manage data pipelines and storage components.
- Handle and process massive marketing behavior data efficiently.
- Develop and maintain data solutions to high standards.
Hiring process
- Prescreen - Exploratory discussion
- Online technical assessment
- 1st Stage - Interview with Head of Engineering
- 2nd Stage - Technical interview
- 3rd Stage - HR Interview