Role Description We are seeking a Big Data & Infrastructure Architect to spearhead the data architecture for our new FX Trading Analytics platform. You will be the primary authority on the big-data engine that powers real-time and historical analysis of liquidity, fill ratios, and market impact. This is a foundational role where you will select, implement, and optimize the "brain" of our analytics suite. The position is a remote position based in Ukraine. Key Responsibilities: - Architecture & Tool Selection: Evaluate and select the optimal Big Data/NoSQL engine to handle high-frequency FX market data and trade execution logs. - Infrastructure Ownership: Own the end-to-end installation, configuration, scaling, and long-term maintenance of the database environment. - System Design & Configuration: Design the database schema and storage strategy to support massive datasets while ensuring high availability and resilience. - Query & Performance Optimization: Build and tune complex time-series queries (calculating metrics like Effective Spread and Last Look Hold Times) to ensure sub-second responses for real-time monitoring tools. - Knowledge Leadership: Act as the subject matter expert, training GUI developers and team members on best practices for efficient data retrieval and interaction with the data layer. - Technical Collaboration: Work closely with the team leader and GUI developers to ensure the data infrastructure perfectly supports the product requirements. Qualifications - Deep knowledge of at least one industry-leading Big Data or Time-Series database (e.g., ClickHouse, InfluxDB, or ScyllaDB/Cassandra). - Proven experience managing "high-velocity" data environments (streaming ticks, execution logs, and order book events). - Strong proficiency in writing and optimizing complex queries for massive datasets (billions of rows). - Extensive experience in a Linux-heavy environment with a focus on system-level performance and low-latency tuning. - Ability to translate business metrics into efficient data structures without necessarily writing application-level code. - Excellent English communication skills. Requirements - Experience in the financial industry (FIX protocol, FX trading, etc.). - Background in high-performance hardware/software integration. - Experience with scripting for automation (Python, Bash).

• Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds. • Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy. • Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework • Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements. • Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity • Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues

The purpose of this role is to design, build, and maintain scalable data pipelines and infrastructure that enable the efficient processing and analysis of large, complex data sets. This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops. • Develop and maintain automated data processing pipelines using Google Cloud: - Design, build, and maintain data pipelines to support data ingestion, ETL, and storage - Build and maintain automated data pipelines to monitor data quality and troubleshoot issues • Implement and maintain databases and data storage solutions: - Stay up-to-date with emerging trends and technologies in big data and data engineering - Ensure data quality, accuracy, and completeness • Implement and enforce data governance policies and procedures to ensure data quality and accuracy: - Collaborate with data scientists and analysts to design and optimise data models for analytical and reporting purposes - Develop and maintain data models to support analytics and reporting - Monitor and maintain data infrastructure to ensure availability and performance

Role Description We are seeking an ETL Specialist who will play a key role in ensuring the secure, accurate, and efficient transfer of digital files from various veterinary Practice Information Management Systems (PIMS) to business partners. This role requires strong technical skills, a structured and detail-oriented approach, and the ability to work effectively across multiple file sources, tools, and environments. Success in this role means consistently delivering complete and high-quality attachment sets, maintaining efficient and standardized workflows, identifying data issues proactively, and collaborating closely with cross-functional teams. This is a full-time, remote position ideal for someone who thrives in technical environments and enjoys problem-solving. Responsibilities - Collect, extract, and migrate attachment files referenced within veterinary PIMS systems. - Retrieve files from various sources, including on-premises PIMS servers, email-delivered download links, and internal applications. - Perform file conversions, naming normalization, and file-type modifications as needed. - Validate file integrity, identify missing or inaccessible files, and communicate limitations to relevant stakeholders. - Use scripting tools (PowerShell or Python) to build or modify custom automation workflows. - Apply ELT (Extract, Load, Transform) concepts to streamline file handling and transformation processes. - Execute secure file transfers using SFTP, HTTPS, and token-based authentication. - Utilize cloud storage platforms, remote-access utilities, and data-management tools to retrieve and deliver files. Requirements - Experience working with Windows and macOS environments. - Proficiency in PowerShell and/or Python for scripting and automation. - Understanding of ELT concepts and their practical application. - Experience with cloud services such as: - Microsoft Azure - Microsoft Storage Explorer - Amazon S3 - Familiarity with remote-access and data transfer tools including TeamViewer, AnyDesk, Cloudberry, FileZilla, AzCopy, and Remote Desktop. - Proficiency with productivity and communication tools: Microsoft Teams, Office, Outlook, Jira. - Familiarity with database browsing tools such as DBeaver. - Basic understanding of secure data transfer protocols. Nice to Have - Previous experience in veterinary PIMS data handling or data migration. - Experience with file-based extraction from legacy systems. - Exposure to cloud-based storage workflows or enterprise data migration pipelines. - Familiarity with generative AI tools for documentation, automation, or workflow enhancement. - Experience working in fast-paced or mid-sized technical environments. Benefits - Competitive compensation and benefits package. - Opportunities for growth and professional development/continuous learning. - Flexible work arrangements. - Comprehensive leave policies, including PTO & holidays. - Monthly connectivity allowance.