Компания "N1 INTERACTIVE Ltd"
We are looking for a Data Engineer to join our data team and help build reliable, scalable data solutions. This role is a great fit for someone who enjoys working with data pipelines, collaborating with analytics teams, and improving data platforms in a fast-growing, data-driven environment.
As a Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines and storage solutions that support analytics and reporting needs. Your mission is to ensure data is accurate, accessible, and reliable, while continuously improving data processing workflows and overall data infrastructure.
Design, build, test, and maintain datasets to support analytics and reporting use cases
Develop and maintain scalable data pipelines for data collection, integration, and transformation using Python and Airflow
Monitor data pipeline performance, identify issues, and implement improvements to ensure stability and efficiency
Collaborate closely with analytics, product, and engineering teams to resolve data-related challenges and improve data usage
Support the management and optimization of ClickHouse databases, ensuring data accuracy and availability
Contribute to data modeling and database design to support analytical platforms and data applications
Keep up to date with modern data engineering tools, technologies, and best practices
2+ years of commercial experience as a Data Engineer
Strong knowledge of database technologies; experience with ClickHouse is a strong advantage
Confident SQL skills and experience working with relational databases
Proficiency in Python, including building ETL and data processing pipelines
Experience with data pipeline orchestration tools, such as Airflow
Strong problem-solving skills and attention to detail
Ability to learn quickly and adapt in a dynamic environment
Good written and verbal communication skills
English and Russian proficiency (B2+)
Knowledge of data modeling techniques and data warehousing concepts
Experience with Tableau, including building and maintaining data sources
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