Senior Data Engineer

Preferred candidate profile

• BS in Computer Science or Related
• 5+ years of data engineering experience
• 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.
• Working experience of working with cloud-based systems (Azure experience preferred)

Desired Qualifications:

• Experience working with cloud-based systems - Azure & Snowflake data warehouses.
• Expertise in designing data table structures, reports, and queries.
• Working knowledge of CI/CD
• Working knowledge of building data integrity checks as part of delivery of applications
• Experience working with Kafka technologies.
• Technical expertise to build code that is performant as well as secure.
• Technical depth and vision to perform POCs and evaluate different technologies.
• Experience with Real Time Analytics and Real Time Messaging
• Working experience with Microservices is desirable.
• Design, implement and monitor 'best practices' for Dev framework.
• Experience working with large volume data; retail experience strongly desired.
• MS Degree in Computer Science or related technical degree completed.
• Possesses an entrepreneurial spirit and continuously innovates to achieve great results.
• Communicates with honesty & kindness and creates the space for others to do the same.
• Fosters connection by putting people first and building trusting relationships.
• Integrates fun and joy as a way of being and working, aka doesnt take themselves too seriously.
• Preferred Tools: Snowflake, Microsoft Azure Data Factory, Kafka, Oracle Exadata, Power BI, SSAS, Oracle Data Integrator