Qualifications
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 nonfunctional 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 cloudbased systems (Azure experience preferred)
Desired Qualifications:
Experience working with cloudbased 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 POC s 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 doesn t take themselves too seriously.
Preferred Tools: Snowflake Microsoft Azure Data Factory Kafka Oracle Exadata Power BI SSAS Oracle Data Integrator
azure,analytics,kafka,oracle