Data Engineer

Responsibilities:

• Good understanding of modern data platforms including data lakes and data warehouse,
• with good knowledge of the underlying architecture, preferably in Snowflake
• Proven experience in assembling large, complex sets of data that meets non-functional
• and functional business requirements
• Experience in identifying, designing, and implementing integration, modelling, and
• orchestration of complex Finance data and at the same time look for process
• improvements, optimize data delivery and automate manual processes
• Working experience of scripting, data science, and analytics (SQL, Python, PowerShell,
• JavaScript)
• Working experience of performance tuning and optimization, bottleneck problems
• analysis, and technical troubleshooting in a, sometimes, ambiguous environment
• Experience working with cloud based systems - Azure & Snowflake data warehouses
• Working knowledge of CI/CD
• Working knowledge of building data integrity checks as part of delivery of applications
• Experience working with Kafka technologies
• Design, implement and monitor best practices for Dev framework
• Experience working with large volume data; retail experience strongly desired