Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности DWH-инженера описаны понятно, стек актуален, а льготы конкретны. Но зарплата не указана, а о компании-партнёре почти нет информации, поэтому важные условия остаются неизвестными.
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Зарплата не указанаРабота через партнёраАктуальный стекПонятные задачиПоддержка обучения
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
DWH Engineer (Python/SQL/Airflow): Building and maintaining scalable data warehouse and data lake solutions with an accent on ETL/ELT pipelines, external data integrations, and analytical platforms. Focus on implementing CDC and incremental loading workflows, optimizing data models and queries, and ensuring pipeline reliability through monitoring and data quality checks.
Location: Remote from Ukraine or Poland
Company
hirify.global is a talent partner that helps selected brands attract and develop exceptional professionals.
What you will do
Develop and maintain data warehouse and data lake solutions for analytics and business decision-making.
Build, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow, and related technologies.
Integrate data from APIs, databases, SaaS platforms, and third-party systems.
Work with Trino and cloud-based analytical platforms to support reporting and analytics.
Implement incremental loading, CDC, backfills, reprocessing, data quality checks, and automated monitoring.
Collaborate with analysts, BI developers, engineers, and business stakeholders while contributing to code reviews and engineering standards.
Requirements
At least 2 years of experience with complex SQL, analytical queries, CTEs, window functions, and query optimization.
At least 2 years of experience with Apache Airflow and Python for data processing, integrations, and automation.
At least 2 years of experience with DWH concepts, ETL/ELT, dimensional modeling, Data Vault, and Star/Snowflake schemas.
Experience integrating external data sources and supporting production data pipelines with monitoring, error handling, and reliability practices.
Understanding of data quality principles, including validation, testing, reconciliation, and monitoring.
Experience with Git.
Culture & Benefits
Flexible payment options.
Bonuses for holidays, birthdays, work anniversaries, and other milestones.
Courses and certifications are covered, with opportunities for professional growth.
Benefit cafeteria including sports, language courses, therapy sessions, and other options.
Online and offline team-building events, industry conferences, and modern equipment including a laptop, monitor, and headphones.
Flexible start time from 9:00 to 11:00, with focus on results rather than clock-ins.
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