FuriaHubО вакансии
Data Engineer
Удалённо (Мир)
Major responsibilities
- Design, develop and optimize scalable ETL processes and data pipelines
- Develop and maintain BI solutions, data marts and analytical datasets
- Design and optimize complex SQL scripts, procedures, and data processing workflows
- Manage risks and dependencies by identifying technical and delivery threats such as data quality, legacy alignment and capacity, communicating them to stakeholders, and proposing pragmatic mitigations early
- Align stakeholders by defining and agreeing on approaches and trade‑offs, presenting options and recommendations, and running demos to validate progress and demonstrate value
- Provide technical leadership with hands‑on delivery by reviewing and enforcing architecture, designs, code and SQL/notebooks, and by implementing critical components to ensure consistent quality.
We'd love to hear from you if you have
- Minimum of 5 years of experience in data engineering, with at least 2–3 years focused on the Azure cloud ecosystem
- Expert in SQL with proven ability to write and optimize complex analytical queries, stored procedures and functions
- Deep knowledge of PySpark and Python for large-scale data processing and building ETL/ELT pipelines
- Understanding data organization principles within a Data Lake (Raw, Silver, Gold layers)
- Experience in administration and development within managed instance environments
- Knowledge of data modeling methodologies (Kimball/Inmon), understanding of Slowly Changing Dimensions (SCD), and history management
- Deep understanding of enterprise Data Warehouse architecture, including the design of dimension and fact tables, and the creation of aggregated data layers
- Financial/Insurance Data Experience, understanding of month-end close processes, data reconciliation, and financial calculation logic
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