Data Engineer – Senior
Job Summary
Job Description
SOFTSWISS is seeking an experienced Data Engineer to join their Reporting and Analytics Team. The role involves designing, constructing, installing, testing, and maintaining datasets, as well as assisting in the design and maintenance of scalable data pipelines for data collection, integration, and transformation using Python and Airflow. Responsibilities include monitoring pipeline performance, troubleshooting issues, collaborating with teams to address data-related matters, and supporting the management and optimization of ClickHouse databases. The engineer will also contribute to data model development and database design to support data applications and analytics platforms, staying updated with industry trends in data engineering.
Must have:
- 2+ years of commercial experience
- Good knowledge of database technologies
- Good SQL knowledge
- Proficiency in Python
- Basic understanding of data pipeline orchestration tools
- Outstanding problem-solving skills
- Eagerness to learn
- Good communication skills
- English and Russian knowledge (B2+)
Good to have:
- Experience with ClickHouse
- Airflow familiarity
- Knowledge of data modeling techniques
- Data warehousing concepts
- Tableau experience
- Managing data sources in Tableau
Perks:
- Full-time remote work
- Flexible working hours
- Private insurance
- Additional 1 Day Off per calendar year
- Sports program compensation
- Comprehensive Mental Health Programme
- Free online English lessons
- Generous referral program
- Training
- Internal workshops
- Participation in international professional conferences
- Corporate events
5 skills required
Job Details
Overview:
SOFTSWISS is hiring Data Engineer to join our Reporting and Analytics Team. We need a true, experienced and accomplished professional who shares our culture and values.
Key responsibilities:
- Design, construct, install, test and maintain datasets for the team, ensuring data availability and accessibility
- Assist in the design and maintenance of scalable data pipelines for data collection, integration and transformation using Python and Airflow
- Monitor data pipeline performance, troubleshoot issues and implement improvements to enhance efficiency and reliability
- Work collaboratively with different teams to address data-related issues and help enhance the efficiency and effectiveness of data use
- Support the management and optimisation of our ClickHouse databases, ensuring data accuracy and availability
- Contribute to the development of data models and database design to support our data applications and analytics platforms
- Stay up-to-date with industry trends and advancements in data engineering technologies and methodologies
Required Experience:
- 2+ years of commercial experience
- Good knowledge of and experience with database technologies, specific experience with ClickHouse is a big plus
- Good knowledge SQL and experience working with relational databases
- Proficiency in Python, with experience using data manipulation and ETL pipelines
- Basic understanding of data pipeline orchestration tools, with Airflow familiarity highly desirable
- Outstanding problem-solving skills and attention to detail
- Eagerness to learn and adapt in a fast-paced environment
- Good communication skills, both written and verbal
- English and Russian knowledge (B2+)
Nice to have:
- Knowledge of data modelling techniques and data warehousing concepts
- Previous experience / familiarity with Tableau, especially building and managing data sources
- Familiarity with Airflow
Our Benefits:
- Full-time remote work opportunities and flexible working hours
- Private insurance
- Additional 1 Day Off per calendar year
- Sports program compensation
- Comprehensive Mental Health Programme
- Free online English lessons with a native speaker
- Generous referral program
- Training, internal workshops, and participation in international professional conferences and corporate events.
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