• Education: Undergraduate or graduate students of higher education institutions.
• Language skills: Fluency in the state (Kazakh) and Russian languages. A high level of English will be a critical advantage (the pitching area and VIP/Business Lounge involve communication with foreign investors, foundations and speakers).

Professional and personal qualities:

• Good oral and written communication skills, understanding of business etiquette.
• Understanding the specifics of the startup ecosystem and the format of pitch sessions (timing, presentations).
• High organizational skills and strict discipline in compliance with regulations / timing.
• Stress tolerance, diplomacy, and the ability to solve operational problems when working with VIP guests, investors, and pitch participants.

Education: Undergraduate or graduate students of higher education institutions.

Language skills: Fluency in the state and Russian languages. Knowledge of English will be an advantage for communicating with international startups and companies.

Professional and personal qualities:

• Business communication and correspondence skills.
• Understanding SMM/PR trends (experience in organizing collaborations and joint publications/co-hosting will be a plus).
• Creativity and scripting skills (participation in the development and conduct of interactive games / quests).
• High level of self-management, attention to detail, consistency in maintaining lists and databases.
• Organizational skills and willingness to "field" work during the control of the installation / construction of stands.

Education: Undergraduate or graduate students of higher education institutions.

Language skills: Fluency in the state (Kazakh) and Russian languages (knowledge of English or sign language will be an advantage).  

Professional and personal qualities:

• Empathy, sensitivity, sensitivity, and respect for communication ethics.
• Attention to detail.
• Endurance, readiness for active physical assistance and staying "on your feet" during the event.
• High stress tolerance, the ability to react quickly and calmly in unusual situations.

Education: Undergraduate or graduate students of higher education institutions.

Language skills: Fluency in the state and Russian languages. Knowledge of English will be a great advantage.

Professional and personal qualities:

• Good written and oral communication skills, business correspondence skills.
• High level of responsibility, attention to detail and meeting deadlines.
• Developed communication skills and the ability to work with speakers and experts.
• Stress tolerance and the ability to promptly resolve operational issues in the halls during the forum.

• Higher education in data analysis, information technology, mathematics, statistics, economics, finance, business informatics or related fields.
• At least 2 years of experience as a Data Analyst, Product Analyst, Web Analyst, Digital Analyst or BI Analyst.
• Strong command of SQL: writing complex queries, combining data from different sources, aggregations, window functions, CTE, data quality control.
• Practical experience working with product and web analytics systems: Google Analytics 4, Google Tag Manager, Microsoft Clarity or similar platforms.
• Experience in developing tracking plans, defining events, event parameters, user properties, and rules for transferring data to analytical systems.
• Understanding the principles of funnel building, conversion calculation, user churn, audience segmentation, and user path analysis.
• Experience creating analytical dashboards and data visualization in Power BI, Looker Studio, Tableau, Qlik Sense or similar tools.
• Skills in working with dataLayer, configuring tags, triggers, variables, and user events in Google Tag Manager.
• Understanding the specifics of tracking user behavior on websites and mobile apps. Application analytics is used to evaluate user actions throughout the user journey.appsflyer
• The ability to verify the correctness of the collection of analytical data, identify errors in the transmission of events and prepare recommendations for their elimination.
• Attention to detail, analytical thinking, and the ability to clearly present analysis results to business customers and technical teams.
• It will be an advantage:

• Experience setting up e-commerce events, payment scenarios, registration, authorization, and user IDs.
• Experience working with mobile analytics: Firebase Analytics, AppMetrica, Amplitude, Mixpanel or similar systems.
• Knowledge of Python, R or other data processing and analysis tools.
• Experience working with databases, DWH, BI-storefronts or product analytics.
• Understanding the principles of personal data protection and the requirements for transferring user identifiers to analytical systems.
• GA4 and Microsoft Clarity integration experience; Clarity can be connected to a GA4 resource for matching user behavior data.

• Higher education in project management, information technology, economics, finance, management, business informatics or related fields.
• At least 3 years of experience as a Project Manager, Project Manager, Delivery Manager or Project Coordinator.
• Experience in managing IT projects, information system implementation projects, system integration, software development or data platforms.
• The ability to form, decompose, prioritize and update the project backlog, taking into account business goals, requirements, deadlines and technical constraints.
• Practical experience in developing and maintaining a project roadmap, calendar plan, project schedule and control points.
• Skills in managing deadlines, resources, dependencies, budget, and project workload.
• Experience coordinating cross-functional teams, including business analysts, developers, data engineers, DevOps engineers, testers, and customer representatives.
• Skills in conducting workshops, status meetings, planning, retrospectives, and presentations of interim results.
• Experience in communicating with customers, key stakeholders, and heads of business units.
• The ability to identify, analyze and control project risks, as well as formulate and implement measures to reduce them.
• Experience in organizing the acceptance of work results, preparing reports and supporting the completion of project stages.
• Ability to work with design, functional and technical documentation.
• Developed communication skills, systematic thinking, independence, responsibility and result orientation.

It will be an advantage:

• Certification in project management: PMP, PRINCE2, PMI-ACP, Scrum Master, AgilePM or similar.
• Experience working on Agile, Scrum, Kanban, Waterfall, or a hybrid project management model.
• Knowledge of project and task management tools: Jira, Confluence, MS Project, Azure DevOps, Trello, Notion or analogues.
• Experience in project management in the field of DWH, integrations, BI, Data Governance, digital transformation or government information systems.
• Skills in preparing managerial, financial and project reports.

• Higher education in the field of information technology, software engineering, information systems, computer engineering, computer science or related technical fields.
• At least 3-5 years of experience as a Technical Architect, Solution Architect, Lead Developer, Tech Lead, Data Architect or Lead Development Engineer.
• Practical experience in designing, developing, and maintaining corporate information systems, integration solutions, data platforms, or DWH.
• Experience in technical leadership of teams of backend developers, Data Engineers, ETL developers or integration engineers.
• A confident understanding of the DWH architecture, Data Lake/Lakehouse approaches, and the principles of organizing Bronze, Silver, and Gold data layers.
• Experience in designing and maintaining ETL/ELT pipelines, data extraction, transformation, and loading processes.
• Knowledge of the principles of integration of information systems: API, REST/SOAP, JSON, XML, message queues, event architectures and data exchange.
• Understanding the principles of designing microservice architecture, distributed systems, high-load services, and fault-tolerant solutions.
• Experience working with relational and/or non-relational databases, strong knowledge of SQL and data modeling principles.
• Knowledge of code quality assurance practices: code review, testing, version control, CI/CD, documentation and technical debt management.
• Understanding non-functional requirements: performance, scalability, security, reliability, fault tolerance, monitoring and logging.
• Experience in preparing architectural and technical documentation: architectural diagrams, technical solutions, API specifications, data models, development standards, and deployment instructions.
• Technical leadership skills, decomposition of complex tasks, making informed decisions and effective communication with business and technical teams.

It will be an advantage:

• Experience working with Kubernetes, Docker, CI/CD pipelines, GitLab CI/CD, Jenkins, Azure DevOps or similar tools.
• Knowledge of Apache Airflow, dbt, Apache Spark, Kafka, Hadoop, Trino, ClickHouse, Greenplum, PostgreSQL, Oracle or similar technologies.
• Experience in implementing Data Governance, Data Quality, Data Lineage, and metadata management practices.
• Knowledge of cloud platforms and services: AWS, Azure, Google Cloud or private cloud solutions.
• Certifications in architecture, cloud technologies, data management, or Agile approaches.
• Experience in building and developing DWH platforms in large organizations or digital transformation projects.

• Higher education in the field of information technology, computer engineering, software engineering, information systems, telecommunications or related technical fields.
• At least 2-3 years of experience as a DevOps engineer, system administrator, infrastructure engineer or SRE engineer.
• Practical experience in the administration of Linux systems and server infrastructure.
• Experience working with Kubernetes, OpenShift, Docker, or similar container platforms.
• Understanding how clusters, network infrastructure, load balancing, data warehouses, and computing resource management work.
• Experience in setting up and maintaining CI/CD pipelines for building, testing, and deploying applications.
• Knowledge of Git version control systems and deployment automation tools.
• Experience working with monitoring, logging, and notification systems: Prometheus, Grafana, ELK/EFK Stack, Zabbix, or analogues.
• Understanding the principles of configuration and secret management, including the secure storage of keys, tokens, passwords, and other credentials.
• Skills in working with databases, data processing platforms, or data warehouses will be an advantage.
• Understanding backup, data recovery, and infrastructure resiliency processes.
• Incident analysis skills, troubleshooting, service recovery, and technical documentation preparation.
• Responsibility, systems thinking, attention to detail, and the ability to interact with developers, data engineers, and analysts.

It will be an advantage:

• Experience in maintaining DWH platforms, Big Data solutions, ETL/ELT processes, or integration services.
• Knowledge of Infrastructure as Code tools: Terraform, Ansible, Helm, Puppet, Chef or analogues.
• Experience working with message brokers and streaming data processing: Kafka, RabbitMQ, ActiveMQ or analogues.
• Knowledge of data storage and processing technologies: PostgreSQL, MS SQL Server, Oracle, ClickHouse, Greenplum, Hadoop, Spark or analogues.
• Experience configuring Kubernetes clusters, Helm charts, Ingress, Service Mesh, network policies, and resource quota management.
• Knowledge of the principles of information security, access management and infrastructure protection.

• Higher education in the field of information technology, software engineering, computer engineering, information systems or related fields.
• At least 2 years of experience as a Backend developer.
• Strong command of one or more programming languages for server-side development: Java, Python, C#, Go, JavaScript/TypeScript or their analogues.
• Experience in the development, maintenance and optimization of backend services and microservice applications.
• Practical experience in API development and support, including REST API; knowledge of SOAP will be an advantage.
• Understanding the principles of integration of information systems, JSON, XML, CSV data exchange formats, and authentication/authorization mechanisms.
• Experience working with relational and/or non-relational databases, strong command of SQL.
• Understanding the principles of DWH, ETL/ELT processes, integration flows, and data transfer between systems.
• Experience working with Git version control systems, build tools, CI/CD, and release management processes.
• Skills in error diagnosis, log analysis, monitoring, and optimizing service performance.
• Ability to maintain technical documentation: description of API, service architecture, integration contracts, settings, and deployment procedures.
• Responsibility, attention to detail, analytical thinking, and willingness to interact with the development team, analysts, and data scientists.

It will be an advantage:

• Experience working with Docker, Kubernetes, and containerized applications.
• Knowledge of message brokers and event integrations: Kafka, RabbitMQ, ActiveMQ or analogues.
• Experience working with API Gateway, authorization services, OAuth 2.0, OpenID Connect, JWT.
• Knowledge of monitoring and logging tools: ELK/EFK Stack, Grafana, Prometheus, Zabbix or analogues.
• Experience developing for data platforms, enterprise data warehouses, or large integration solutions.
• Knowledge of the principles of secure API development and protection.

• Higher education in information technology, information systems, software engineering, applied mathematics, data analysis, or related fields.
• At least 2 years of experience as a Data Engineer, BI developer, Data engineer, ETL developer or data analyst.
• Proficiency in SQL: writing complex queries, optimization, working with large amounts of data, window functions, CTE and procedures.
• Practical experience in the development, formation and maintenance of data Marts.
• Understanding the architecture of data warehouses and the principles of organizing data layers, including Bronze/Silver/Gold or similar approaches.
• Experience in building and maintaining ETL/ELT processes, uploading, converting, and updating data.
• Understanding data models: normalized models, "star", "snowflake", fact and measurement tables.
• Skills in analyzing the quality, completeness, consistency, and relevance of data.
• Experience in maintaining technical documentation on data structures, sources, transformations, and rules for creating storefronts.
• Attention to detail, analytical thinking, responsibility and teamwork skills.

It will be an advantage:

• Experience working with data orchestration and processing tools: Apache Airflow, dbt, Apache Spark, Kafka or similar.
• Knowledge of Python, PySpark or other languages and tools for data processing.
• Experience working with modern databases and data platforms: PostgreSQL, MS SQL Server, Oracle, ClickHouse, Greenplum, BigQuery, Snowflake or their analogues.
• Knowledge of Git, CI/CD approaches and principles of version control.
• Work experience in data warehousing, BI-reporting, or digital transformation projects.