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 the development and support of the analytical warehouse. The project is focused on working with credit organization data, with an emphasis on data quality, metric transparency, and analytical convenience.

Key responsibilities: • Designing and developing the analytical data warehouse (DWH) • Developing data models (fact / dimension, aggregates) • Building ETL / ELT processes for data loading and transformation • Developing analytical marts and BI models • Working with financial data (loans, payments, overdue payments, clients, products) • Ensuring data quality, consistency, and historicity • Optimizing queries, data models, and metric calculations • Interacting with developers, analysts, and business stakeholders to formalize requirements

Requirements: • 3+ years of experience in Data / DWH development • Strong SQL knowledge • 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

Bonus points: • Experience in the financial domain (banks, microfinance organizations, fintech) • Experience in building reports on credit portfolios (disbursements, repayments, overdue payments, collections, 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 • A strong product and technical team • Opportunities for professional growth in Data / DWH architecture • Competitive salary