Quaero jobs - Data Engineer

Position Summary

Quaero’s Customer Data Platform (CDP) is the leading data management and analytics platform-as-a-service for marketers. This offering originated as an internal capability to drive Quaero’s consulting practice and has evolved into an externally facing product offering. Your role is to continue driving this evolution, and to support further market penetration, through the rapid delivery of new features that delight our end users- data engineers, data scientists and marketing strategists.

In this role, you will contribute individually to both design and development. We’ll look to you to employ, instill and enforce best practices in product development and deployment as part of mentoring and further growing a high-performance development team.

Responsibilities

• Employ, instill and enforce best practices in product development and deployment
• Provide leadership, in collaboration with peers, on overall system architecture
• Commit and review code regularly. Demonstrate flexibility to overcome hurdles and drive velocity wherever you are most needed
• Participate in cross-functional work planning- contributing your particular perspective on all facets of development life-cycle ranging from requirements, design, work planning, testing, delivery and support
• Mentor and provide technical leadership to team members
  
  

Skills And Qualifications

• 5-7 years of cumulative experience, in a lead/principal engineer or architect position, dealing with data intensive platforms.
• An engineer-at-heart that has demonstrated success at both individual contributor and leadership roles, in early stage and growth environments.
• Ability to reference design patterns that solve a given problem “the right way”, addressing performance, robustness and scalability criteria
• Drive efficient, high quality development operations through automation, systems thinking and unusually strong problem-solving skills.
• Fluency in Java (Mandatory) and Scala(Preferred)
• High proficiency with end to end distributed applications using Spark, apache storm, (or similar technology).
• Prior experience with streaming systems that used RabbitMQ, Kafka, Kinesis, EventHub or DataFlow at the core( preferred)
• Experience utilizing JVM performance measurement tools and tuning approaches.
• Understanding of containerization, Kubernetes, Swarms, ECS or similar deployment stack would be a plus
• Delivering enterprise software for B2B customers, with digital and/or direct marketing exposure
• Experience with both traditional(MYSQL/SQL Server) and distributed data base(Hive/ Hbase)
• Experience with Oozie/Airflow(Preferred)
• Demonstrated success as part of team employing agile product development and product management.