
Senior Data Engineering Expert
1 day ago
We are seeking an exceptional Senior Data Engineer to join our data team.
- Design, develop, and maintain scalable and efficient ETL/ELT pipelines using dbt, Snowflake, and Python.
- Optimize data models and warehouse performance in Snowflake.
- Collaborate with data analysts, scientists, and business teams to understand data needs and deliver high-quality datasets.
- Evaluate and ensure data quality, governance, and compliance across pipelines.
- Automate data workflows and monitor production jobs to ensure accuracy and reliability.
- Participate in architectural decisions and advocate for best practices in data engineering.
- Maintain documentation of data pipelines, transformations, and data models.
- Mentor junior engineers and contribute to team knowledge sharing.
The ideal candidate will have:
- 5+ years of professional experience in Data Engineering.
- Strong hands-on experience with Snowflake (data modeling, performance tuning, security features).
- Proven experience using dbt for data transformation and modeling.
- Proficiency in Python for data engineering tasks and scripting.
- Solid understanding of SQL and experience in building and maintaining complex queries.
- Experience with orchestration tools is a plus.
- Familiarity with version control systems like Git.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
This role offers the opportunity to work with cutting-edge technologies and collaborate with experienced professionals.
About the RoleThis position requires a strong understanding of data architecture, transformation pipelines, and data quality principles. The successful candidate will be instrumental in building and maintaining scalable data pipelines and enabling data-driven decision-making across the organization.
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