
Leading Data Engineer for Scalable Solutions
24 hours ago
We are seeking an experienced data engineer to lead the design and implementation of scalable, high-performance data pipelines.
As a key member of our team, you will work closely with clients to translate business needs into robust data solutions.
You'll play a key role in mentoring junior engineers, enforcing standards, and delivering production-grade data platforms.
- Design and implement modular, test-driven ELT pipelines using dbt on Snowflake.
- Create layered data models aligned with dbt best practices.
- Lead ingestion of structured and semi-structured data from APIs, cloud storage, and databases into Snowflake.
- Optimize Snowflake for performance and cost by sizing warehouses, clustering, materializing queries, and monitoring credits.
- Apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation.
- Orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines.
- Bachelor's or master's degree in computer science, Data Engineering, or a related field.
- Certifications such as Snowflake SnowPro Advanced, dbt Certified Developer are a plus.
Key Responsibilities:
- Develop scalable, high-performance data pipelines.
- Mentor junior engineers.
- Enforce data standards.
- Deliver production-grade data platforms.
- Work on modern data architecture at scale.
- Collaborate with a talented team of data professionals.
- Grow your leadership skills through project ownership and mentorship.
- Competitive compensation, flexible work options, and continuous learning culture.
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