About the project:
Our customer is the leading advisor in B2B engagement globally from Toronto, Canada.
Their relationship benchmarking capabilities have become the gold standard for measuring business-to-business engagement in over 40+ countries for over 30 years.
We are developing a solution that collects extensive quantitative and qualitative feedback across various critical performance drivers built upon a strategic framework that helps businesses navigate the intricate partner ecosystem. It is a simple and efficient engagement process for ongoing measurement that enables businesses to set realistic goals and make improvements based on actionable insights.
7+ years of experience in DataBase Developing;
Hands-on experience managing complex data platforms both with internal and external partner teams;
Experience with PostgreSQL or other SQL databases;
Thorough knowledge of software architecture and relational data;
Strong knowledge of marketplace trends for data and data analytics solutions and product offerings;
Practical experience with databases and data warehouses for transactional and analytic applications;
Experience dealing with competing priorities in a fast-paced environment, recommending; alternative technical and solution approaches
Ability to drive technical excellence, pushing innovation and quality.
Would be a plus:
Experience with our technology stack (Angular-Java-PostgreSQL, Bash scripts);
Standard development tools (Maven, Git, Jenkins, Docker, Kubernetes etc.);
Knowledge of other industry tools and technologies like MongoDB, Birst, Kafka, Nifi;
Business intelligence and data visualization tools, such as Tableau, PowerBI, Qlik platform.
Database architecture and design;
Database administration and configuration;
Formulation, socialization, and championing a clear data strategy with a strong client-first focus;
Designing data warehouses, data marts, and governance frameworks and leading a team to implement the designs;
Proactivity in defining data needs, roles, and practices required in the business and can clearly articulate / communicate their value;
Exploring commercial opportunities in the data to create new and better experiences and products for our clients;
Mentoring other team members to improve their data analytics and technical skills.
What we offer:
Annual paid vacation of 18 working days;
Extra vacation days for long-lasting cooperation;
Annual paid illness of 10 days;
The opportunity of sabbatical leave;
Marriage and Parenthood Package;
Compensation for sports activities (up to 6000 UAH\year);
50 % cost compensation for attending courses for self-development;
Internal education(corporate library, Udemy courses);
Career development plan;
Paying taxes and conducting private entrepreneurs;
Technical equipment: laptop, mouse, keyboard, monitor;
Internal Referral program;
Opportunity to take part in company volunteering activities;
Technical community events.