
Senior Data Engineer
- Украина
- Постоянная работа
- Полная занятость
- 6+ years of experience in Data Engineering.
- Strong proficiency in Airflow, Python, and SQL.
- Hands-on experience with cloud data warehouses (Snowflake or equivalent).
- Solid understanding of AWS services and Kubernetes at an advanced user level.
- Familiarity with Data Quality and Observability best practices.
- Ability to thrive in a dynamic environment with a strong sense of ownership and responsibility.
- Analytical mindset and problem-solving skills for tackling complex technical challenges.
- Bachelor's in Mathematics, Computer Science or other relevant quantitative fields
- Experience with DevOps practices, CI/CD, and Infrastructure as Code (IaC).
- Hands-on experience with Looker or other BI tools.
- Performance optimization of large-scale data pipelines.
- Knowledge of metadata management and Data Governance best practices.
- Design and develop a scalable data platform to efficiently process and analyze large volumes of data using Snowflake, Looker, Airflow, and dbt.
- Enhance the self-serve data platform by implementing new features to improve stakeholder access and usability.
- Work with cross-functional teams to provide tailored data solutions and optimize data pipelines.
- Foster a culture of knowledge sharing within the team to enhance collaboration and continuous learning.
- Stay updated on emerging technologies and best practices in data engineering and bring innovative ideas to improve the platform.
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits