Ipotekabank OTP Group

Database Developer (Data Engineering)

In short

This is an onsite Data Developer/Data Engineer role at a banking organization in Tashkent, focused on building and optimizing scalable data pipelines, data warehouses, data lakes, and ETL/ELT processes. The role requires 3+ years of relevant experience and proficiency in Java, Scala, Python, and SQL, plus experience with cloud data services (AWS, Azure, or Google Cloud). Strong knowledge of database design, data warehousing, and data modeling is essential, along with working-proficiency English.

Location
Tashkent, onsite at the employer's workplace
Company
Ipotekabank OTP Group is a banking organization developing data-driven business and analytical infrastructure.
What you will do
•Design, develop, and optimize scalable data processing pipelines.
•Build and maintain data warehouses, data lakes, data marts, data models, schemas, and database structures.
•Develop ETL/ELT and data integration processes for large datasets from multiple sources.
•Collaborate with data architects, data scientists, and business analysts to turn requirements into technical solutions.
•Monitor database infrastructure and troubleshoot data processing, quality, and performance issues.
•Implement automated monitoring, testing, validation, documentation, and data security controls.
Requirements
•3+ years of experience as a Data Developer, Data Engineer, or in an equivalent role.
•Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
•Proficiency in Java, Scala, Python, and SQL for data processing and analytics.
•Experience with cloud data services such as AWS, Azure, or Google Cloud.
•Strong knowledge of database design, data warehousing, and data modeling.
•English at working proficiency; strong analytical, problem-solving, communication, and teamwork skills.
Nice to have
•Master's degree in Data Science, Computer Science, or a related technical field.
•Experience with real-time data processing frameworks.
•Knowledge of machine learning and data science concepts for big data analytics.
•Familiarity with DevOps practices and continuous integration and deployment tools.
Culture & Benefits
•Opportunity to shape mission-critical data infrastructure.
•Direct impact on data quality, accessibility, and analytical solutions.
•Participation in large-scale digital transformation and data-driven initiatives.
•Work with modern technologies and contribute to architectural evolution.
•Supportive environment focused on expertise, ownership, and continuous development.

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