Job
Description
Job Summary In your day-to-day role, you will Lead and inspire a high-performing engineering team to build and scale a highly secure, reliable and performant platform to enable a standardized end-to-end data solutions development and production lifecycle with delightful user experience Drive a results-oriented culture with a strong focus on engineering excellence, execution, and craftsmanship as a Customer Champion Develop trusted partnership with business, product, data scientists and architecture leaders to drive optimized platform product delivery; Manage stakeholder planning and communications ensuring key outcomes Recruit, coach, and mentor the best engineering and management talent Ability to lead complex technical and data science discussions and engagements that involve multiple personas including data scientists, data engineers, analysts and developers Anticipate and aggressively remove obstacles that slow down or prevent products and programs from delivering on product and program objectives. Balance urgent and effective action, commitment to excellence, and taking initiative to resolve problems; holds internal stakeholders accountable where appropriate Strong communication, listening, interpersonal, influencing, and negotiation skills; able to convey important messages in a clear and compelling manner Develops loyalty and commitment in others by communicating clear expectations, developing and mentoring direct reports, and setting an example in one s own behaviour Job Description Bachelor s degree with 15+ years of experience with 5+ experience of people management. Strong experience in data engineering using Java EE technologies. Strong Object-Oriented Programming skills, with ability to analyze requirements and transform into scalable software designs. Experience with HTTP, REST APIs and competent designing and building web services/microservices in a commercial setting. Experience with Design Patterns, MVC and frameworks (e.g. Spring Boot). Working experience in Big Data technologies like Spark, Flink, Big Query, Data Proc, Pub Sub and Kafka. Experience with Service Oriented Architectures. Experience with development of scalable and distributed Java services. Strong understanding of database design, including SQL and NoSQL databases, and experience with ORM tools. Competent in design/implementation for reliability, availability, scalability and performance. Competent in software engineering tools (e.g. Java build tools) and best practices (e.g. unit testing, test automation, continuous integration, etc.).
