Data Engineer
Doimiy Ish📋 Tavsif
unilance
We are looking for an experienced Data Engineer ⚡ to join a large-scale technology project in the financial sector.
What you’ll do
- Run and maintain production data pipelines on a regular basis;
- Monitor pipeline stability and investigate failures;
- Support scheduled model retraining processes;
- Prepare and maintain operational reporting;
- Work with large volumes of customer and analytical data;
- Collaborate with Data Engineering, Machine Learning, and DevOps teams.
Requirements
- 4+ years of experience in Data Engineering;
- Experience working with large volumes of customer data in banking, fintech or telecom (must have);
- Strong SQL skills, including complex query optimization, window functions, partitioning, and batch processing;
- Experience with OLAP databases and high-volume data loading;
- Strong Python skills: PySpark, pandas, pyarrow, Parquet;
- Experience with multi-stage ETL pipelines, failure recovery, and idempotent processing;
- Hands-on experience with Airflow, Dagster, Prefect, or similar orchestration tools;
- Experience integrating external data sources would be a plus.
What we offer
- Opportunity to work on a large-scale financial technology project;
- Complex technical challenges involving high-load systems and large datasets;
- Experienced Data Engineering, Machine Learning, and DevOps team;
- Competitive compensation based on experience and technical expertise.
📍 Tashkent / on-site
@unilance - the best for you