Position: Data Engineer / DWH Developer Location: Tashkent Company: HaaS Platform partner Employment: Full-time Format: Office Salary: from $3000 net (discussed based on interview results)

Data Engineer DWH We are looking for an experienced Data Engineer / DWH Developer to work on analytical systems in the financial domain. We need a practical specialist who can quickly immerse themselves in the subject area, build a robust data model, and take on tasks for developing and supporting the analytical warehouse. The project focuses on working with credit organization data, with an emphasis on data quality, metric transparency, and analytical convenience. Key Responsibilities: • Design and development of the analytical data warehouse (DWH) • Development of data models (fact / dimension, aggregates) • Building ETL / ELT processes for data loading and transformation • Development of analytical marts and BI models • Working with financial data (loans, payments, overdue payments, clients, products) • Ensuring data quality, consistency, and historicity • Optimization of queries, data models, and KPI calculations • Interaction with developers, analysts, and business to formalize requirements Requirements: • From 3 years of experience in Data / DWH development • Strong knowledge of SQL • Practical experience in building DWH / analytical systems • Understanding of data modeling approaches (Star Schema, Fact / Dimension) • Experience in developing ETL / ELT processes • Understanding of the principles of analytical reporting and BI construction • Experience with one or more analytical DBMS (PostgreSQL, MS SQL Server, ClickHouse, Snowflake, BigQuery, Microsoft Fabric / Synapse) • Understanding the differences between OLTP and OLAP systems • Ability to design robust and understandable data models Will be a plus: • Experience in the financial domain (banks, microfinance organizations, fintech) • Experience in building reports on credit portfolios (issuance, repayment, overdue payments, collection, cohort and vintage analysis) • Experience with BI tools (Power BI, Tableau, Superset, Metabase) • Experience with orchestration tools (Airflow, dbt) • Experience using Python for data processing • Understanding of Data Quality, Data Governance, and data historization principles We offer: • Full-time employment • Office-based work format in Tashkent. • Work on an analytical platform in the fintech domain with a direct impact on the business • Strong product and technical team • Opportunity for professional growth in the Data / DWH architecture direction

📩 Contacts: recruiter contact