• Design, develop, and maintain databases supporting IVR and contact center systems • Support databases used by both runtime IVR services and analytics platforms • Design and maintain relational data models for IVR event, routing, and call data • Write, maintain, and optimize SQL for application logic, configuration changes, and investigations • Ensure database availability, integrity, performance, and scalability in production environments • Support storage and availability of IVR event logs, call lifecycle data, and routing outcomes for analytics and reporting • Monitor and troubleshoot production databases and support incident investigations • Collaborate with architects, application developers, DevOps, QA, and Analytics teams on platform changes and improvements

Role Description Build, maintain, and optimize scalable data solutions to support Journey Analytics initiatives, focusing on code maintainability, reusable components, and reliable data pipelines. This role is responsible for maintaining and refactoring existing codebases, developing modular components, and ensuring high-quality, performant datasets for analytics and reporting use cases. The ideal candidate has strong experience working with code repositories, building data pipelines in Databricks or Snowflake, and designing scalable data models to support evolving analytics needs in cross-functional environments. - Maintain, optimize, and automate existing code repositories in GitHub. - Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases. - Design and build modular, reusable code components to support multiple journeys and reduce duplication. - Develop and manage automated data pipelines in Databricks to support Journey Analytics datasets and downstream reporting. - Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views. - Build and maintain scalable data models to support current and future journey analytics use cases. - Ensure data quality, performance, and reliability across data pipelines and analytics datasets. - Collaborate with analytics and engineering teams to improve data processes and architecture. Qualifications - Strong experience working with GitHub repositories and version control workflows. - Hands-on experience developing and maintaining data pipelines in Databricks or Snowflake. - Proven experience refactoring and maintaining legacy codebases. - Strong understanding of data modeling and reusable component design. - Experience building scalable data models for analytics and reporting use cases. - Strong focus on data quality, performance, and reliability. - Ability to work in cross-functional environments and contribute to continuous improvement. - Ability to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision. - Excellent written and verbal English for clear and effective communication with the team. - At least 5+ years of experience in data engineering or similar roles. Benefits - Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. - Access to AI learning paths to stay up to date with the latest technologies. - Study plans, courses, and additional certifications tailored to your role. - Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. - English lessons to support your professional communication. - Travel opportunities to attend industry conferences and meet clients. - Career development plans and mentorship programs to help shape your path. - Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. - Company-provided equipment. - Flexible working options to help you strike the right balance. - Other benefits may vary according to your location in LATAM.

Who we are: Soname Solutions is a group of enthusiasts who are in love with data analytics and big data. We help our clients in becoming data-driven companies. Our team keeps expanding, and it includes 60+ professionals from Germany, Poland and Georgia. We blend deep expert knowledge with humanity. We have been working in data analysis for the last 15 years. This vast experience, analytical skills of our team members, hunger for knowledge define our way of working with each other and our clients. This is all seasoned with kindness, curiosity, empathy, willingness to help, trust, and transparency. The best qualities of our team serve us in finding optimal technical solutions that please our customers. All of that is a base for long-term relations with international corporations. They are always wowed with our services. Position: We are looking for a Senior Data Warehouse Developer to become a part of our team. About the project: As part of this project, we cooperate with German telecom company. Tech stack: SQL, DWH, Power BI, Oracle, PostgreSQL.

Role Description We are looking for a Senior Data Warehouse Developer to become a part of our team. As a Data Engineer, you will be responsible for: - Familiarization with complex business processes and their technical implementation in the DWH - Designing and implementing ETL/ELT processes in a comprehensive, multi-layered DWH - Performance optimization at the database and ETL level - Creating architecture proposals for new developments within our DWH - Close collaboration with business departments to align requirements and find joint solutions - Independent work with a high degree of personal responsibility Qualifications - Deep expertise in classic 3-layer DWH architectures (Staging/Core/Data Marts) - Strong knowledge of 3NF modeling, Inmon architectures, and dimensional modeling (Kimball) - Experience with technical data versioning (historization) - Solid experience in performance optimization, including: - Analyzing and improving execution plans - Implementing and managing partitioning concepts - Monitoring and controlling large data volumes - Excellent knowledge of SQL; PL/SQL is a distinct advantage - Proficiency in German (very good level) and strong communication skills Requirements - Independent and structured way of working - Ability to explain complex technical solutions clearly and understandably - Proactive involvement in shaping the future DWH architecture Benefits - Long-term projects (12m+) with leading global companies with a worldwide reputation - Strong relationships with clients - Friendly, well-coordinated, and helpful team - Mentoring in the first months of work - Paid sick leave and 5 days off a year - Up to 26-days of paid vacation - Medical care payment - Competitive salary, regular performance, and salary review process - Fully remote position - Interesting corporate events - Gifts and pleasant surprises for significant events - Daily English / German communication