Location: Remote
Your expertise:
Strong analytical and problem-solving skills, with the ability to work with complex datasets and identify practical solutions
Strong SQL skills and experience working with SQL-based databases, data warehouses, or data lakehouse technologies
Practical experience designing and building ETL / ELT pipelines from scratch
Proficiency in Python for data processing, automation, and building data engineering solutions
Good understanding of data modeling concepts and experience designing data structures for analytics
Experience with dbt or similar data transformation tools
Experience with cloud platforms, preferably AWS
Ability to work independently as well as collaborate effectively with other engineers, BI specialists, and business stakeholders
Intermediate level of English
Will definitely be a plus:
Hands-on experience with Trino
Experience with Apache Iceberg or other data lakehouse technologies
Experience with dbt Core
Experience with Apache Airflow or other workflow orchestration tools
Experience with DataHub or similar data catalog, metadata, lineage, or semantic layer solutions
Experience with AWS data services, such as S3, Glue, Athena, or similar
Understanding of data warehouse and data lake architecture
Experience with CI / CD and version control practices for data engineering projects
General understanding of BI platforms such as Tableau, Power BI, or similar tools
What’s in it for you?
Remote work format with opportunities for business trips
Competitive base salary + performance-based bonus
Dynamic and ambitious environment where you can directly influence growth and be rewarded for success
Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
“You build it, you own it” mentality in most contexts
Support of personal and professional development
support of experienced colleagues
in-house events and trainings
regular knowledge sharing in teams
English classes and speaking clubs
Life-balance support
truly flexible schedule, no time-tracking at all
25 working days of vacation
5 days of paid sick leave per month (if necessary) without providing a medical certificate
generous maternity / paternity leave program
Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
You will be involved into:
Design and build scalable data pipelines and ETL / ELT processes
Develop and maintain data models using dbt Core
Build and orchestrate data pipelines using Apache Airflow
Work with Trino and Apache Iceberg to build and query data lakehouse solutions
Use AWS services to develop and operate cloud-based data solutions
Develop Python-based data processing and automation components
Build and maintain data catalogs, metadata, and data lineage using DataHub or similar solutions
Collaborate with BI specialists and other technical teams to understand requirements and deliver data solutions
Contribute to the architecture and development of a new data platform from the ground up
Monitor, troubleshoot, and continuously improve data pipelines and data quality
About the company and project:
ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 17 million domains under management.
Our culture is built on the values that we live every day; the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.
We are a Business Intelligence team solving business challenges through innovative technology solutions. We have extensive experience building BI, ETL, data warehouse, and ML solutions.
