Analytics Engineer

Що робити

Build and maintain Python and SQL pipelines in Airflow, including scheduling, incremental processing, backfills, and failure recovery.
Develop reusable data models and marts for product activity, marketing acquisition, accounts, subscriptions, payments, and marketplace transactions.
Partner with analysts to translate business requirements into trusted datasets and consistent metrics, including revenue, retention, CAC, and LTV.
Ensure data reliability through automated testing, validation, monitoring, and troubleshooting.
Optimize pipeline and query performance, maintain documentation, and contribute to code reviews and CI/CD practices.

Experience in analytics engineering, data engineering, or a similar role, owning production pipelines and analytical datasets.
Strong Python skills for data processing and automation, including modular code, logging, error handling, and testing.
Strong SQL skills, including complex transformations, window functions, incremental processing, and query optimization.
Hands-on experience with Airflow or a comparable orchestrator, including workflow development, dependency management, and troubleshooting.
Knowledge of dimensional modeling, dataset grain, historical data management, and reliable pipeline design.

Experience with ClickHouse, MySQL, AWS, and datasets supporting Tableau or Power BI.
Understanding of subscription, mobile, or marketplace business models.
Familiarity with attribution, cohort-based LTV, experimentation data, and cross-platform identity resolution.
Experience improving data quality, documentation, and engineering standards within a growing team.

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