We are seeking to hire a Data Platform Engineer to join our IT department and help build a scalable, reliable, and transparent data infrastructure.
Requirements: * Experience working with a variety of database/storage systems: MariaDB, PostgreSQL, ClickHouse, BigQuery, Elasticsearch. * Strong understanding of Graylog and Elasticsearch administration. * Proficient in using visualization tools such as Grafana. * Proven experience designing and maintaining robust ETL/ELT workflows. * Knowledge of data replication, backup strategies, and data integrity validation. * Ability to document data processes and system architecture effectively. * Strong communication skills to collaborate with non-technical stakeholders and gather business requirements. * Previous experience in fintech or working with sensitive/confidential data is a plus. * System-oriented thinking, attention to detail, and the ability to work independently.
Responsibilities: * Design and implement the architecture for collecting, storing, transforming, and delivering data. * Collaborate closely with system architects and developers. * Set up monitoring of databases, replication status, backup integrity, and overall data availability. * Communicate with business units to gather requirements and align on data formats, structures, and delivery mechanisms. * Build and maintain ETL/ELT pipelines. * Set up dashboards and data visualization in Grafana, integrating with ClickHouse, Elasticsearch, Graylog, and other systems. * Optimize and support Elasticsearch infrastructure as part of the analytics platform. * Ensure data consistency and availability across parallel processes and pipelines. * Create and maintain documentation for systems architecture, data pipelines, and business agreements on data structure and usage.
Would be a plus: * Key Challenges to Address * Lack of a unified framework for working with heterogeneous data from various sources: MariaDB, PostgreSQL, ClickHouse, BigQuery, Elasticsearch, Graylog. * Rapid data growth with increasing complexity in maintaining data integrity, replication, backups, and availability. * Limited and inefficient data access for internal stakeholders: marketing, product, dealing, finance, and C-level teams. * No standardized process for aligning business requirements with data formats, structures, and update frequency. * Absence of centralized data visualization and metric dashboards, hindering real-time monitoring and analytics. * Need to design a scalable architecture that ensures consistency and reliability of data.
We offer:
— Opportunity to grow inside the company — 20 working days of vacation — 10 days of paid sick leaves — Day off for your birthday + 5 days for special occasions — Ukrainian holidays are days off — International team
