Data engineer

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.y Overview Company information is not provided. ## Job Summary The purpose and expectations of the role are not defined. ## Responsibilities - Responsibilities of the role are not outlined. ## Qualifications - Qualifications for the role are not specified. ## Preferred Skills - Preferred skills are not made clear. ## Experience Experience requirements are not defined. ## Environment Work setting and location details are not provided. ## Salary Salary information is not specified. ## Growth Opportunities Potential career advancement opportunities are not listed. ## Benefits Benefits offered are not mentioned.