Middle Data Engineer
Required work experience: 1–3 years
Full-time, full day

Main Responsibilities:
•          Work with data sources, configure ETL processes, and integrate new data sources.
•          Clean data, remove errors and anomalies, prepare data for analysis.
•          Develop and maintain data pipelines, automate data processing.
•          Optimize queries and improve database performance.
•          Document processes and data architecture, create database objects.
•          Monitor data processing systems and troubleshoot issues.
Required Skills and Qualifications:
•          3+ years as a Data Engineer.
•          Higher education in Computer Science, Engineering, or related fields.
•          Fluent English (B2+).
•          Strong Python skills for data processing and pipeline development.
•          Deep experience with Airflow.
•          Proficient in SQL (PLSQL), data modeling, query optimization (Oracle, Clickhouse, Postgres).
•          Knowledge of data models (Data Vault, ER model), ETL processes, Data Warehouse concepts.
•          Experience with DBT core, Apache Kafka, Apache Spark.
Perks and Benefits:
•          Hybrid or remote work, flexible start of the day.
•          Professional development: meetups, training, conferences, demo days, hackathons.
•          28 calendar days of vacation per year.
•          Annual KPI-based bonus.
•          Corporate mobile service.
•          Comprehensive health insurance covering two relatives.
•          Discounted fitness memberships with installment plans.
•          Laptop usage compensation.
•          Online psychological support.
•          Access to MyBook corporate library.
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