About the vacancy:

Division: Digitalization and Customer Experience 
Working schedule: 5 days a week, from 09:00 to 18:00. Based on nature of the work you will be able to work from office and from home.
Deadline to apply: 09.03.2024.

Your main job responsibilities:

• Execute Data Strategy within Data Architecture and Data Platforms Environment
• Research, design and propose new features or optimizations initiatives for various functional areas having agility and digitalization in mind
• Participate in Specific Streams under Data Architecture topic to create synergy between Backend Transactional Systems, Backend Analytical and Reporting Systems and Core Systems
• Work in particular stream/squad with business representatives and teams to collect and translate information requirements into data to develop data-centric solutions
• Apply principles and standards for modeling, stored procedures, replication, regulations, and security, among others, to meet technical and business goals defined by company
• Participate in Development phases of data-related services using various technologies and architectural patterns for enabling and supporting purposes of existing reporting and analytical use cases for internal and external use cases
• Work in the squads on products as well as internal stakeholders to create new products, features in products as well as identify the root causes of problems, turn analyses into insights and solutions
• Participate in project implementation and operational tasks execution
• Participate in quality management of Data Stack by having Test Driven Development approach, having UNIT, Integration and Regression tests within Development Lifecycle
• Deliver the documentation according the company defined documentation standards for Data Stack and constantly deliver documentation within delivery Agile Sprints or within Waterfall Milestones

Position requirements:

• Higher education
• Data Engineering, Data Architecture, Consulting, Product Management, Digital, Technology
• Fluent in the Azerbaijani, English and Russian
• 1+ years of Data Engineering or Software Engineering positions within Telco, Banking and Retail industry
• Research and analytical skills
• Team work and collaboration skills
• Strong communication skills
• Result orientation skills
• Innovative thinking

Special requirements:

• Minimum 1 years of relevant experience in a data engineering environment
• Good hands-on experience in data ecosystems
• Excellent coding skills in at least two relevant languages (e.g. SQL, Python, Java, Scala) as well as excellent knowledge of Cost Based Optimization techniques.
• Excellent coding skills in at least three relevant languages (e.g. SQL, Python, Java, Scala) as well as excellent knowledge of Cost Based Optimization techniques.
• Good knowledge of data pipeline orchestration (e.g. Apache Airflow, Ni-Fi)
• Understanding DataOps and MLOps concepts
• Experience with agile methodologies in a professional development environment (CI/CD)
• Experience with RESTful and SOAP APIs
• Practical knowledge of Messaging Queue technologies, like Apache Kafka, RabbitMQ
• Practical knowledge of NoSQL technologies, like Redis, Elasticsearch, Neo4j
• Practical knowledge about when and what to test (Unit Tests, E2E Tests)
• The ability to work autonomously and in a result-oriented way