Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer
• Focus: Data platforms and data warehouses for banking clients

Description

Build data platform solutions in a data lakehouse architecture, designing and developing data warehouses and translating business requirements into analytical models.

Create and optimize ETL/ELT processes and process large datasets using Spark and Kafka in production. Own data architecture planning for new projects and work independently to deliver technical tasks.

Responsibilities

• Design and develop data warehouses and data platforms
• Build and optimize ETL and ELT pipelines
• Implement solutions in a data lakehouse architecture
• Process large datasets using Spark and Kafka
• Convert business requirements into analytical solutions
• Design data architecture for new projects

Requirements

• Minimum 5 years of commercial experience as a data engineer
• Excellent SQL knowledge and ability to optimize queries
• Practical experience in building and maintaining data warehouses
• Experience with Spark and Kafka in a production environment
• Understanding of data lakehouse concepts and ETL/ELT processes
• Full independence in delivering technical tasks