Senior Data Engineer

Job Code : EWC - 1512

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 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

A day in the life:

• Co-ordinate with multiple data source teams in getting data published to our Finance Data Warehouse
• Working with stakeholders including data, design, product, and executive teams, and assisting them with data related and technical issues.
• Building Scalable Data Pipelines for generating training datasets for machine learning deliverables
• Mentoring Junior resources and drive end to end design, implementation, and delivery of engineering components.
• Communicating with and educate both senior and junior colleagues to further embed data science and analytics across the organization.
• Strive for continuous improvement of code quality and development practices.
• Willingness to adapt to and self-learn new technologies and deliver on them.
• Translating business issues to technical terms
• Understanding, leveraging, and applying best practices effectively. Also leads by example and comes up with coding standards and best practices for technology.
• Collaborating with cross-functional teams – business stakeholders, engineers, program management, project management, etc. - to produce the best solutions possible.
• Anticipating system/application challenges and proposes solutions for the same.
• Contributing to story sizing and work estimates for implementation, validation, delivery, and documentation
• Reviewing user stories to ensure a quality user experience, well-defined acceptance criteria and thorough test coverage.
• Participating in design and code review to ensure quality and testability of feature code.