• Analyze and Execute Data Strategy within Data Architecture and Data Platforms Environment;
• Providing the first line, where required, second-line technical troubleshooting;
• Managing multiple data load pipelines to ensure they are operational;
• Running frequent audits and operationalizing data quality monitoring and resolving issues;
• Restoring lost, corrupted data if any;
• Researching new data sources and performing basic data source analysis;
• Planning resources necessary for data operations along with Data Architect and Dev Ops;
• Support models using Deep Learning and other machine learning algorithms and techniques;
• Manipulate and support complex, high-volume, high-dimensionality data from multiple sources;
• Collaborate with engineers to integrate algorithms efficiently with backend production services and monitor them after launch;
• Work with the product team to define new products, build ML solutions, and integrate them into the roadmap. 

• Higher or relevant experience (BS in Computer Science or Engineering); 
• 3+ years of Data Engineering/Software Engineering within Telco, Banking and Retail industry (Background in computer science, mathematics, or a similar quantitative field with a minimum of 3-5 years); 
• Specific areas of expertise: Data Engineering, Data Architecture, Process Optimization ,Digital Technology;
• Language Skills: good level of Azerbaijani, English, Russian;
• Extensive hands-on experience in data ecosystems; covering data ingestion, data modeling, and data provisioning to consumers and downstream systems; 
• Programming experience (Java, JQuery, SQL, Scala preferred) with experience in data modeling.;
• Advanced skills using one or more scripting languages (e. g. Python, bash, etc. );
• Experience in ETL/ELT design, data, and interface specifications, quality assurance and testing methods. Knowledge of data pipeline orchestration (e.g. Apache Airflow, Ni-Fi);
• Basic knowledge in implementing DataOps and MLOps concepts;
• Keen ability to work collectively with engineering and product managers to understand and translate data-driven initiatives and potential ideas into fully developed customer and partner solutions and experiences;
• Problem-solving, critical reasoning, and creative thinking skills;
• Ability to identify core and edge cases, and dependencies in any scenario;
• Experience with identifying and resolving issues working with disparate sources of data and data quality. 

Deadline to apply: 30.04.2025